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@article{DBLP:journals/jmlr/AhmedHAD21,
  author    = {Imtiaz Ahmed and
               Xia Ben Hu and
               Mithun P. Acharya and
               Yu Ding},
  title     = {Neighborhood Structure Assisted Non-negative Matrix Factorization
               and Its Application in Unsupervised Point-wise Anomaly Detection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {34:1--34:32},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-924.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AhmedHAD21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AltschulerB21,
  author    = {Jason M. Altschuler and
               Enric Boix{-}Adser{\`{a}}},
  title     = {Wasserstein barycenters can be computed in polynomial time in fixed
               dimension},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {44:1--44:19},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-588.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AltschulerB21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AyedBCF21,
  author    = {Fadhel Ayed and
               Marco Battiston and
               Federico Camerlenghi and
               Stefano Favaro},
  title     = {Consistent estimation of small masses in feature sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {6:1--6:28},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-534.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AyedBCF21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AzizKR21,
  author    = {Maryam Aziz and
               Emilie Kaufmann and
               Marie{-}Karelle Riviere},
  title     = {On Multi-Armed Bandit Designs for Dose-Finding Trials},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {14:1--14:38},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-228.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AzizKR21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AzmiKK21,
  author    = {Behzad Azmi and
               Dante Kalise and
               Karl Kunisch},
  title     = {Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {48:1--48:32},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-755.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AzmiKK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BakhtinDGORS21,
  author    = {Anton Bakhtin and
               Yuntian Deng and
               Sam Gross and
               Myle Ott and
               Marc'Aurelio Ranzato and
               Arthur Szlam},
  title     = {Residual Energy-Based Models for Text},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {40:1--40:41},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-326.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BakhtinDGORS21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Balasubramanian21,
  author    = {Krishnakumar Balasubramanian and
               Tong Li and
               Ming Yuan},
  title     = {On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {1:1--1:45},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/17-570.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Balasubramanian21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BengsBMH21,
  author    = {Viktor Bengs and
               R{\'{o}}bert Busa{-}Fekete and
               Adil El Mesaoudi{-}Paul and
               Eyke H{\"{u}}llermeier},
  title     = {Preference-based Online Learning with Dueling Bandits: {A} Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {7:1--7:108},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-546.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BengsBMH21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bhatia21,
  author    = {Jagdeep Singh Bhatia},
  title     = {Simple and Fast Algorithms for Interactive Machine Learning with Random
               Counter-examples},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {15:1--15:30},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-372.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bhatia21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BlanchardDDLS21,
  author    = {Gilles Blanchard and
               Aniket Anand Deshmukh and
               {\"{U}}r{\"{u}}n Dogan and
               Gyemin Lee and
               Clayton Scott},
  title     = {Domain Generalization by Marginal Transfer Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {2:1--2:55},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/17-679.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BlanchardDDLS21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CaiLM21,
  author    = {T. Tony Cai and
               Hongzhe Li and
               Rong Ma},
  title     = {Optimal Structured Principal Subspace Estimation: Metric Entropy and
               Minimax Rates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {46:1--46:45},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-610.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/CaiLM21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenYZ21,
  author    = {Yunxiao Chen and
               Zhiliang Ying and
               Haoran Zhang},
  title     = {Unfolding-Model-Based Visualization: Theory, Method and Applications},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {11:1--11:51},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-846.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenYZ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DavisDXZ21,
  author    = {Damek Davis and
               Dmitriy Drusvyatskiy and
               Lin Xiao and
               Junyu Zhang},
  title     = {From Low Probability to High Confidence in Stochastic Convex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {49:1--49:38},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-821.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DavisDXZ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DiKL21,
  author    = {Xiao Di and
               Yuan Ke and
               Runze Li},
  title     = {Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed
               Errors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {13:1--13:42},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-1018.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DiKL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EftekhariBR21,
  author    = {Hamid Eftekhari and
               Moulinath Banerjee and
               Yaacov Ritov},
  title     = {Inference In High-dimensional Single-Index Models Under Symmetric
               Designs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {27:1--27:63},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-744.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/EftekhariBR21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GalvanLLS21,
  author    = {Giulio Galvan and
               Matteo Lapucci and
               Chih{-}Jen Lin and
               Marco Sciandrone},
  title     = {A Two-Level Decomposition Framework Exploiting First and Second Order
               Information for {SVM} Training Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {23:1--23:38},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-632.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GalvanLLS21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Gomez-UribeK21,
  author    = {Carlos Alberto Gomez{-}Uribe and
               Brian Karrer},
  title     = {The Decoupled Extended Kalman Filter for Dynamic Exponential-Family
               Factorization Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {5:1--5:25},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-417.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Gomez-UribeK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuusariK21,
  author    = {Riikka Huusari and
               Hachem Kadri},
  title     = {Entangled Kernels - Beyond Separability},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {24:1--24:40},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-665.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HuusariK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JiangWQL21,
  author    = {Gaoxia Jiang and
               Wenjian Wang and
               Yuhua Qian and
               Jiye Liang},
  title     = {A Unified Sample Selection Framework for Output Noise Filtering: An
               Error-Bound Perspective},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {18:1--18:66},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-498.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/JiangWQL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KoseR21,
  author    = {Umit Kose and
               Andrzej Ruszczynski},
  title     = {Risk-Averse Learning by Temporal Difference Methods with Markov Risk
               Measures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {38:1--38:34},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-168.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KoseR21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KovachkiS21,
  author    = {Nikola B. Kovachki and
               Andrew M. Stuart},
  title     = {Continuous Time Analysis of Momentum Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {17:1--17:40},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-466.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KovachkiS21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KroemerNK21,
  author    = {Oliver Kroemer and
               Scott Niekum and
               George Konidaris},
  title     = {A Review of Robot Learning for Manipulation: Challenges, Representations,
               and Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {30:1--30:82},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-804.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KroemerNK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LangeBK21,
  author    = {Henning Lange and
               Steven L. Brunton and
               J. Nathan Kutz},
  title     = {From Fourier to Koopman: Spectral Methods for Long-term Time Series
               Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {41:1--41:38},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-406.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LangeBK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeiHT21,
  author    = {Yunwen Lei and
               Ting Hu and
               Ke Tang},
  title     = {Generalization Performance of Multi-pass Stochastic Gradient Descent
               with Convex Loss Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {25:1--25:41},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-716.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeiHT21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lim21,
  author    = {Soon Hoe Lim},
  title     = {Understanding Recurrent Neural Networks Using Nonequilibrium Response
               Theory},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {47:1--47:48},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-620.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Lim21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuH21,
  author    = {Benjamin Lu and
               Johanna Hardin},
  title     = {A Unified Framework for Random Forest Prediction Error Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {8:1--8:41},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-558.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuH21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuMT21,
  author    = {Fei Lu and
               Mauro Maggioni and
               Sui Tang},
  title     = {Learning interaction kernels in heterogeneous systems of agents from
               multiple trajectories},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {32:1--32:67},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-861.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuMT21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuoSM21,
  author    = {Zhao Tang Luo and
               Huiyan Sang and
               Bani K. Mallick},
  title     = {A Bayesian Contiguous Partitioning Method for Learning Clustered Latent
               Variables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {37:1--37:52},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-136.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuoSM21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaillardAL21,
  author    = {Guillaume Maillard and
               Sylvain Arlot and
               Matthieu Lerasle},
  title     = {Aggregated Hold-Out},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {20:1--20:55},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-624.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaillardAL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MerrillFFD21,
  author    = {Erich Merrill and
               Alan Fern and
               Xiaoli Z. Fern and
               Nima Dolatnia},
  title     = {An Empirical Study of Bayesian Optimization: Acquisition Versus Partition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {4:1--4:25},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-220.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MerrillFFD21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MouMWBJ21,
  author    = {Wenlong Mou and
               Yi{-}An Ma and
               Martin J. Wainwright and
               Peter L. Bartlett and
               Michael I. Jordan},
  title     = {High-Order Langevin Diffusion Yields an Accelerated {MCMC} Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {42:1--42:41},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-576.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MouMWBJ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OrnikT21,
  author    = {Melkior Ornik and
               Ufuk Topcu},
  title     = {Learning and Planning for Time-Varying MDPs Using Maximum Likelihood
               Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {35:1--35:40},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-006.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/OrnikT21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParhiN21,
  author    = {Rahul Parhi and
               Robert D. Nowak},
  title     = {Banach Space Representer Theorems for Neural Networks and Ridge Splines},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {43:1--43:40},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-583.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParhiN21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SarkarRD21,
  author    = {Tuhin Sarkar and
               Alexander Rakhlin and
               Munther A. Dahleh},
  title     = {Finite Time {LTI} System Identification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {26:1--26:61},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-725.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SarkarRD21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SarkarWM21,
  author    = {Purnamrita Sarkar and
               Y. X. Rachel Wang and
               Soumendu Sundar Mukherjee},
  title     = {When random initializations help: a study of variational inference
               for community detection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {22:1--22:46},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-630.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SarkarWM21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SunTY21,
  author    = {Defeng Sun and
               Kim{-}Chuan Toh and
               Yancheng Yuan},
  title     = {Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {9:1--9:32},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-694.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SunTY21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TauzinLTPCMDH21,
  author    = {Guillaume Tauzin and
               Umberto Lupo and
               Lewis Tunstall and
               Julian Burella P{\'{e}}rez and
               Matteo Caorsi and
               Anibal M. Medina{-}Mardones and
               Alberto Dassatti and
               Kathryn Hess},
  title     = {giotto-tda: : {A} Topological Data Analysis Toolkit for Machine Learning
               and Data Exploration},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {39:1--39:6},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-325.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TauzinLTPCMDH21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TianF21,
  author    = {Ye Tian and
               Yang Feng},
  title     = {RaSE: Random Subspace Ensemble Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {45:1--45:93},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-600.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TianF21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TracaRY21,
  author    = {Stefano Trac{\`{a}} and
               Cynthia Rudin and
               Weiyu Yan},
  title     = {Regulating Greed Over Time in Multi-Armed Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {3:1--3:99},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/17-720.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TracaRY21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Villacampa-Calvo21,
  author    = {Carlos Villacampa{-}Calvo and
               Bryan Zaldivar and
               Eduardo C. Garrido{-}Merch{\'{a}}n and
               Daniel Hern{\'{a}}ndez{-}Lobato},
  title     = {Multi-class Gaussian Process Classification with Noisy Inputs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {36:1--36:52},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/20-107.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Villacampa-Calvo21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangMALRRV21,
  author    = {Tianyu Wang and
               Marco Morucci and
               M. Usaid Awan and
               Yameng Liu and
               Sudeepa Roy and
               Cynthia Rudin and
               Alexander Volfovsky},
  title     = {{FLAME:} {A} Fast Large-scale Almost Matching Exactly Approach to
               Causal Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {31:1--31:41},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-853.html},
  timestamp = {Fri, 02 Jul 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangMALRRV21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangLST21,
  author    = {Lei Yang and
               Jia Li and
               Defeng Sun and
               Kim{-}Chuan Toh},
  title     = {A Fast Globally Linearly Convergent Algorithm for the Computation
               of Wasserstein Barycenters},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {21:1--21:37},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-629.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangLST21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuCCGF21,
  author    = {Shih{-}Yuan Yu and
               Sujit Rokka Chhetri and
               Arquimedes Canedo and
               Palash Goyal and
               Mohammad Abdullah Al Faruque},
  title     = {Pykg2vec: {A} Python Library for Knowledge Graph Embedding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {16:1--16:6},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-433.html},
  timestamp = {Thu, 25 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuCCGF21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangKTMC21,
  author    = {Wanrong Zhang and
               Sara Krehbiel and
               Rui Tuo and
               Yajun Mei and
               Rachel Cummings},
  title     = {Single and Multiple Change-Point Detection with Differential Privacy},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {29:1--29:36},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-770.html},
  timestamp = {Wed, 28 Jul 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangKTMC21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouXQ21,
  author    = {Shenglong Zhou and
               Naihua Xiu and
               Hou{-}Duo Qi},
  title     = {Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {12:1--12:45},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-026.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhouXQ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhuoG21,
  author    = {Bumeng Zhuo and
               Chao Gao},
  title     = {Mixing Time of Metropolis-Hastings for Bayesian Community Detection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {10:1--10:89},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/18-770.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhuoG21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZimmertS21,
  author    = {Julian Zimmert and
               Yevgeny Seldin},
  title     = {Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {28:1--28:49},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-753.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZimmertS21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZrnicRJ21,
  author    = {Tijana Zrnic and
               Aaditya Ramdas and
               Michael I. Jordan},
  title     = {Asynchronous Online Testing of Multiple Hypotheses},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {33:1--33:39},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-910.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZrnicRJ21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/dAspremontCT21,
  author    = {Alexandre d'Aspremont and
               Mihai Cucuringu and
               Hemant Tyagi},
  title     = {Ranking and synchronization from pairwise measurements via {SVD}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {22},
  pages     = {19:1--19:63},
  year      = {2021},
  url       = {http://jmlr.org/papers/v22/19-542.html},
  timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/dAspremontCT21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0001HW20,
  author    = {Wouter Kool and
               Herke van Hoof and
               Max Welling},
  title     = {Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {47:1--47:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-985.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0001HW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0002N20,
  author    = {Hao Yu and
               Michael J. Neely},
  title     = {A Low Complexity Algorithm with O({\(\surd\)}T) Regret and {O(1)}
               Constraint Violations for Online Convex Optimization with Long Term
               Constraints},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {1:1--1:24},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-494.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0002N20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0002WXD20,
  author    = {Hang Yu and
               Songwei Wu and
               Luyin Xin and
               Justin Dauwels},
  title     = {Fast Bayesian Inference of Sparse Networks with Automatic Sparsity
               Determination},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {124:1--124:54},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-514.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/0002WXD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0003BBFGJMRSSST20,
  author    = {Alexander Alexandrov and
               Konstantinos Benidis and
               Michael Bohlke{-}Schneider and
               Valentin Flunkert and
               Jan Gasthaus and
               Tim Januschowski and
               Danielle C. Maddix and
               Syama Sundar Rangapuram and
               David Salinas and
               Jasper Schulz and
               Lorenzo Stella and
               Ali Caner T{\"{u}}rkmen and
               Yuyang Wang},
  title     = {GluonTS: Probabilistic and Neural Time Series Modeling in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {116:1--116:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-820.html},
  timestamp = {Sun, 13 Jun 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0003BBFGJMRSSST20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0005HM20,
  author    = {Pan Li and
               Niao He and
               Olgica Milenkovic},
  title     = {Quadratic Decomposable Submodular Function Minimization: Theory and
               Practice},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {106:1--106:49},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-790.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/0005HM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0005YCP20,
  author    = {Sandeep Kumar and
               Jiaxi Ying and
               Jos{\'{e}} Vin{\'{\i}}cius de Miranda Cardoso and
               Daniel P. Palomar},
  title     = {A Unified Framework for Structured Graph Learning via Spectral Constraints},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {22:1--22:60},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-276.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0005YCP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0007L20,
  author    = {Huan Li and
               Zhouchen Lin},
  title     = {On the Complexity Analysis of the Primal Solutions for the Accelerated
               Randomized Dual Coordinate Ascent},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {33:1--33:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-425.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0007L20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0015GS020,
  author    = {Di Wang and
               Marco Gaboardi and
               Adam Smith and
               Jinhui Xu},
  title     = {Empirical Risk Minimization in the Non-interactive Local Model of
               Differential Privacy},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {200:1--200:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-253.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/0015GS020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0075W020,
  author    = {Yu Wang and
               Siqi Wu and
               Bin Yu},
  title     = {Unique Sharp Local Minimum in L1-minimization Complete Dictionary
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {63:1--63:52},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-169.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0075W020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AbbeKL20,
  author    = {Emmanuel Abbe and
               Sanjeev R. Kulkarni and
               Eun Jee Lee},
  title     = {Generalized Nonbacktracking Bounds on the Influence},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {31:1--31:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-112.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AbbeKL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AgrawalPH20,
  author    = {Devanshu Agrawal and
               Theodore Papamarkou and
               Jacob D. Hinkle},
  title     = {Wide Neural Networks with Bottlenecks are Deep Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {175:1--175:66},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-017.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AgrawalPH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Al-ShedivatDX20,
  author    = {Maruan Al{-}Shedivat and
               Avinava Dubey and
               Eric P. Xing},
  title     = {Contextual Explanation Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {194:1--194:44},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-856.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Al-ShedivatDX20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlaturL020,
  author    = {Pragnya Alatur and
               Kfir Y. Levy and
               Andreas Krause},
  title     = {Multi-Player Bandits: The Adversarial Case},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {77:1--77:23},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-912.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlaturL020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlcobacaSRGOC20,
  author    = {Edesio Alcoba{\c{c}}a and
               Felipe Siqueira and
               Adriano Rivolli and
               Lu{\'{\i}}s Paulo F. Garcia and
               Jefferson Tales Oliva and
               Andr{\'{e}} C. P. L. F. de Carvalho},
  title     = {{MFE:} Towards reproducible meta-feature extraction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {111:1--111:5},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-348.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlcobacaSRGOC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Almodovar-Rivera20,
  author    = {Israel Almod{\'{o}}var{-}Rivera and
               Ranjan Maitra},
  title     = {Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {122:1--122:54},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-435.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Almodovar-Rivera20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AndreuxAELRTZMA20,
  author    = {Mathieu Andreux and
               Tom{\'{a}}s Angles and
               Georgios Exarchakis and
               Roberto Leonarduzzi and
               Gaspar Rochette and
               Louis Thiry and
               John Zarka and
               St{\'{e}}phane Mallat and
               Joakim And{\'{e}}n and
               Eugene Belilovsky and
               Joan Bruna and
               Vincent Lostanlen and
               Muawiz Chaudhary and
               Matthew J. Hirn and
               Edouard Oyallon and
               Sixin Zhang and
               Carmine{-}Emanuele Cella and
               Michael Eickenberg},
  title     = {Kymatio: Scattering Transforms in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {60:1--60:6},
  year      = {2020},
  url       = {https://www.jmlr.org/papers/v21/19-047.html},
  timestamp = {Thu, 12 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AndreuxAELRTZMA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AnilCDDFGQRSY20,
  author    = {Robin Anil and
               G{\"{o}}khan {\c{C}}apan and
               Isabel Drost{-}Fromm and
               Ted Dunning and
               Ellen Friedman and
               Trevor Grant and
               Shannon Quinn and
               Paritosh Ranjan and
               Sebastian Schelter and
               {\"{O}}zg{\"{u}}r Yilmazel},
  title     = {Apache Mahout: Machine Learning on Distributed Dataflow Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {127:1--127:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-800.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AnilCDDFGQRSY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArenzZN20,
  author    = {Oleg Arenz and
               Mingjun Zhong and
               Gerhard Neumann},
  title     = {Trust-Region Variational Inference with Gaussian Mixture Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {163:1--163:60},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-524.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArenzZN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Arias-CastroJP20,
  author    = {Ery Arias{-}Castro and
               Adel Javanmard and
               Bruno Pelletier},
  title     = {Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration,
               with Applications to Manifold Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {15:1--15:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-720.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Arias-CastroJP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArikP20,
  author    = {Sercan {\"{O}}mer Arik and
               Tomas Pfister},
  title     = {ProtoAttend: Attention-Based Prototypical Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {210:1--210:35},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-042.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArikP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AryaBCDHHHLLMMP20,
  author    = {Vijay Arya and
               Rachel K. E. Bellamy and
               Pin{-}Yu Chen and
               Amit Dhurandhar and
               Michael Hind and
               Samuel C. Hoffman and
               Stephanie Houde and
               Q. Vera Liao and
               Ronny Luss and
               Aleksandra Mojsilovic and
               Sami Mourad and
               Pablo Pedemonte and
               Ramya Raghavendra and
               John T. Richards and
               Prasanna Sattigeri and
               Karthikeyan Shanmugam and
               Moninder Singh and
               Kush R. Varshney and
               Dennis Wei and
               Yunfeng Zhang},
  title     = {{AI} Explainability 360: An Extensible Toolkit for Understanding Data
               and Machine Learning Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {130:1--130:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1035.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AryaBCDHHHLLMMP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AsadiA20,
  author    = {Amir R. Asadi and
               Emmanuel Abbe},
  title     = {Chaining Meets Chain Rule: Multilevel Entropic Regularization and
               Training of Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {139:1--139:32},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-794.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/AsadiA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Ashraphijuo020,
  author    = {Morteza Ashraphijuo and
               Xiaodong Wang},
  title     = {Union of Low-Rank Tensor Spaces: Clustering and Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {69:1--69:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-347.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Ashraphijuo020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AzaisI20,
  author    = {Romain Aza{\"{\i}}s and
               Florian Ingels},
  title     = {The weight function in the subtree kernel is decisive},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {67:1--67:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-290.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AzaisI20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BacciuEM20,
  author    = {Davide Bacciu and
               Federico Errica and
               Alessio Micheli},
  title     = {Probabilistic Learning on Graphs via Contextual Architectures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {134:1--134:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-470.html},
  timestamp = {Fri, 09 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BacciuEM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BacryBGM20,
  author    = {Emmanuel Bacry and
               Martin Bompaire and
               St{\'{e}}phane Ga{\"{\i}}ffas and
               Jean{-}Fran{\c{c}}ois Muzy},
  title     = {Sparse and low-rank multivariate Hawkes processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {50:1--50:32},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/15-114.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BacryBGM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BargiacchiRN20,
  author    = {Eugenio Bargiacchi and
               Diederik M. Roijers and
               Ann Now{\'{e}}},
  title     = {AI-Toolbox: {A} {C++} library for Reinforcement Learning and Planning
               (with Python Bindings)},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {102:1--102:12},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-402.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BargiacchiRN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BartelsH20,
  author    = {Simon Bartels and
               Philipp Hennig},
  title     = {Conjugate Gradients for Kernel Machines},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {55:1--55:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-473.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BartelsH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BassilyNST20,
  author    = {Raef Bassily and
               Kobbi Nissim and
               Uri Stemmer and
               Abhradeep Thakurta},
  title     = {Practical Locally Private Heavy Hitters},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {16:1--16:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-786.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BassilyNST20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BelhadjiBC20,
  author    = {Ayoub Belhadji and
               R{\'{e}}mi Bardenet and
               Pierre Chainais},
  title     = {A determinantal point process for column subset selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {197:1--197:62},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-080.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BelhadjiBC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BerrenderoBC20,
  author    = {Jos{\'{e}} R. Berrendero and
               Beatriz Bueno{-}Larraz and
               Antonio Cuevas},
  title     = {On Mahalanobis Distance in Functional Settings},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {9:1--9:33},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-156.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BerrenderoBC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BezakovaBCSV20,
  author    = {Ivona Bez{\'{a}}kov{\'{a}} and
               Antonio Blanca and
               Zongchen Chen and
               Daniel Stefankovic and
               Eric Vigoda},
  title     = {Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic
               Ising Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {25:1--25:62},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-580.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BezakovaBCSV20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BhattacharjeeBM20,
  author    = {Monika Bhattacharjee and
               Moulinath Banerjee and
               George Michailidis},
  title     = {Change Point Estimation in a Dynamic Stochastic Block Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {107:1--107:59},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-814.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BhattacharjeeBM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BilgrauPEBW20,
  author    = {Anders E. Bilgrau and
               Carel F. W. Peeters and
               Poul Svante Eriksen and
               Martin B{\o}gsted and
               Wessel N. van Wieringen},
  title     = {Targeted Fused Ridge Estimation of Inverse Covariance Matrices from
               Multiple High-Dimensional Data Classes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {26:1--26:52},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/15-509.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BilgrauPEBW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BinettePD20,
  author    = {Olivier Binette and
               Debdeep Pati and
               David B. Dunson},
  title     = {Bayesian Closed Surface Fitting Through Tensor Products},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {119:1--119:26},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/13-233.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BinettePD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BingBW20,
  author    = {Xin Bing and
               Florentina Bunea and
               Marten H. Wegkamp},
  title     = {Optimal Estimation of Sparse Topic Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {177:1--177:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-079.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BingBW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BinoisPTH20,
  author    = {Micka{\"{e}}l Binois and
               Victor Picheny and
               Patrick Taillandier and
               Abderrahmane Habbal},
  title     = {The Kalai-Smorodinsky solution for many-objective Bayesian optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {150:1--150:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-212.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BinoisPTH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BlancoPR20,
  author    = {V{\'{\i}}ctor Blanco and
               Justo Puerto and
               Antonio M. Rodr{\'{\i}}guez{-}Ch{\'{\i}}a},
  title     = {On lp-Support Vector Machines and Multidimensional Kernels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {14:1--14:29},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-601.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BlancoPR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bloem-ReddyT20,
  author    = {Benjamin Bloem{-}Reddy and
               Yee Whye Teh},
  title     = {Probabilistic Symmetries and Invariant Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {90:1--90:61},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-322.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bloem-ReddyT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BlondelMN20,
  author    = {Mathieu Blondel and
               Andr{\'{e}} F. T. Martins and
               Vlad Niculae},
  title     = {Learning with Fenchel-Young losses},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {35:1--35:69},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-021.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BlondelMN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BlumDM020,
  author    = {Avrim Blum and
               Travis Dick and
               Naren Manoj and
               Hongyang Zhang},
  title     = {Random Smoothing Might be Unable to Certify L{\(\infty\)} Robustness
               for High-Dimensional Images},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {211:1--211:21},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-209.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BlumDM020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BonaldLLC20,
  author    = {Thomas Bonald and
               Nathan de Lara and
               Quentin Lutz and
               Bertrand Charpentier},
  title     = {Scikit-network: Graph Analysis in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {185:1--185:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-412.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BonaldLLC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BorisyakRUDRM20,
  author    = {Maxim Borisyak and
               Artem Ryzhikov and
               Andrey Ustyuzhanin and
               Denis Derkach and
               Fedor Ratnikov and
               Olga Mineeva},
  title     = {{(1} + epsilon)-class Classification: an Anomaly Detection Method
               for Highly Imbalanced or Incomplete Data Sets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {72:1--72:22},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-514.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BorisyakRUDRM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BunelLTTKK20,
  author    = {Rudy Bunel and
               Jingyue Lu and
               Ilker Turkaslan and
               Philip H. S. Torr and
               Pushmeet Kohli and
               M. Pawan Kumar},
  title     = {Branch and Bound for Piecewise Linear Neural Network Verification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {42:1--42:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-468.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BunelLTTKK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurtRW20,
  author    = {David R. Burt and
               Carl Edward Rasmussen and
               Mark van der Wilk},
  title     = {Convergence of Sparse Variational Inference in Gaussian Processes
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {131:1--131:63},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1015.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BurtRW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CaiLR20,
  author    = {T. Tony Cai and
               Tengyuan Liang and
               Alexander Rakhlin},
  title     = {Weighted Message Passing and Minimum Energy Flow for Heterogeneous
               Stochastic Block Models with Side Information},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {11:1--11:34},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-573.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CaiLR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CaiLZ20,
  author    = {Zhanrui Cai and
               Runze Li and
               Liping Zhu},
  title     = {Online Sufficient Dimension Reduction Through Sliced Inverse Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {10:1--10:25},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-567.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CaiLZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChamakhGS20,
  author    = {Linda Chamakh and
               Emmanuel Gobet and
               Zolt{\'{a}}n Szab{\'{o}}},
  title     = {Orlicz Random Fourier Features},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {145:1--145:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1031.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChamakhGS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenDT20,
  author    = {Xi Chen and
               Simon S. Du and
               Xin T. Tong},
  title     = {On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient
               Langevin Dynamics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {68:1--68:41},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-327.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenDT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenDW020,
  author    = {Yuansi Chen and
               Raaz Dwivedi and
               Martin J. Wainwright and
               Bin Yu},
  title     = {Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step
               gradients},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {92:1--92:72},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-441.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenDW020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenLMY20,
  author    = {Xi Chen and
               Weidong Liu and
               Xiaojun Mao and
               Zhuoyi Yang},
  title     = {Distributed High-dimensional Regression Under a Quantile Loss Function},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {182:1--182:43},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-297.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenLMY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenWZ20,
  author    = {Xi Chen and
               Yining Wang and
               Yuan Zhou},
  title     = {Dynamic Assortment Optimization with Changing Contextual Information},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {216:1--216:44},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1054.html},
  timestamp = {Wed, 10 Feb 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenWZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChiGSZY20,
  author    = {Eric C. Chi and
               Brian J. Gaines and
               Will Wei Sun and
               Hua Zhou and
               Jian Yang},
  title     = {Provable Convex Co-clustering of Tensors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {214:1--214:58},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-155.html},
  timestamp = {Mon, 16 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChiGSZY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChristiansenP20,
  author    = {Rune Christiansen and
               Jonas Peters},
  title     = {Switching Regression Models and Causal Inference in the Presence of
               Discrete Latent Variables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {41:1--41:46},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-407.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChristiansenP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CilibertoRR20,
  author    = {Carlo Ciliberto and
               Lorenzo Rosasco and
               Alessandro Rudi},
  title     = {A General Framework for Consistent Structured Prediction with Implicit
               Loss Embeddings},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {98:1--98:67},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-097.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/CilibertoRR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CiosekW20,
  author    = {Kamil Ciosek and
               Shimon Whiteson},
  title     = {Expected Policy Gradients for Reinforcement Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {52:1--52:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-012.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CiosekW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ColbertP20,
  author    = {Brendon K. Colbert and
               Matthew M. Peet},
  title     = {A Convex Parametrization of a New Class of Universal Kernel Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {45:1--45:29},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-594.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ColbertP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CruzHSC20,
  author    = {Rafael M. O. Cruz and
               Luiz G. Hafemann and
               Robert Sabourin and
               George D. C. Cavalcanti},
  title     = {DESlib: {A} Dynamic ensemble selection library in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {8:1--8:5},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-144.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CruzHSC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CucuringuT20,
  author    = {Mihai Cucuringu and
               Hemant Tyagi},
  title     = {Provably robust estimation of modulo 1 samples of a smooth function
               with applications to phase unwrapping},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {32:1--32:77},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-143.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CucuringuT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DevijverP20,
  author    = {Emilie Devijver and
               {\'{E}}meline Perthame},
  title     = {Prediction regions through Inverse Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {113:1--113:24},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-535.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DevijverP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DiakonikolasG20,
  author    = {Jelena Diakonikolas and
               Crist{\'{o}}bal Guzm{\'{a}}n},
  title     = {Lower Bounds for Parallel and Randomized Convex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {5:1--5:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-771.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DiakonikolasG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DobribanS20,
  author    = {Edgar Dobriban and
               Yue Sheng},
  title     = {{WONDER:} Weighted One-shot Distributed Ridge Regression in High Dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {66:1--66:52},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-277.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DobribanS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Duan20,
  author    = {Leo L. Duan},
  title     = {Latent Simplex Position Model: High Dimensional Multi-view Clustering
               with Uncertainty Quantification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {38:1--38:25},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-239.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Duan20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EisenachBND20,
  author    = {Carson Eisenach and
               Florentina Bunea and
               Yang Ning and
               Claudiu Dinicu},
  title     = {High-Dimensional Inference for Cluster-Based Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {53:1--53:55},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-357.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/EisenachBND20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EldardiryNR20,
  author    = {Hoda Eldardiry and
               Jennifer Neville and
               Ryan A. Rossi},
  title     = {Ensemble Learning for Relational Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {49:1--49:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/14-368.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/EldardiryNR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElgabliPBBA20,
  author    = {Anis Elgabli and
               Jihong Park and
               Amrit S. Bedi and
               Mehdi Bennis and
               Vaneet Aggarwal},
  title     = {{GADMM:} Fast and Communication Efficient Framework for Distributed
               Machine Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {76:1--76:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-718.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElgabliPBBA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElmanMCC20,
  author    = {Miriam R. Elman and
               Jessica Minnier and
               Xiaohui Chang and
               Dongseok Choi},
  title     = {Noise Accumulation in High Dimensional Classification and Total Signal
               Index},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {36:1--36:23},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-117.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElmanMCC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Engelhardt20,
  author    = {Dalit Engelhardt},
  title     = {Dynamic Control of Stochastic Evolution: {A} Deep Reinforcement Learning
               Approach to Adaptively Targeting Emergent Drug Resistance},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {203:1--203:30},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-546.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Engelhardt20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FaouziJ20,
  author    = {Johann Faouzi and
               Hicham Janati},
  title     = {pyts: {A} Python Package for Time Series Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {46:1--46:6},
  year      = {2020},
  url       = {https://www.jmlr.org/papers/v21/19-763.html},
  timestamp = {Thu, 12 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FaouziJ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FattahiS20,
  author    = {Salar Fattahi and
               Somayeh Sojoudi},
  title     = {Exact Guarantees on the Absence of Spurious Local Minima for Non-negative
               Rank-1 Robust Principal Component Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {59:1--59:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-884.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FattahiS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FehrmanGJ20,
  author    = {Benjamin J. Fehrman and
               Benjamin Gess and
               Arnulf Jentzen},
  title     = {Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex
               Objective Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {136:1--136:48},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-636.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FehrmanGJ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FengFS20,
  author    = {Yunlong Feng and
               Jun Fan and
               Johan A. K. Suykens},
  title     = {A Statistical Learning Approach to Modal Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {2:1--2:35},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-068.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FengFS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FischerS20,
  author    = {Simon Fischer and
               Ingo Steinwart},
  title     = {Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {205:1--205:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-734.html},
  timestamp = {Mon, 03 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FischerS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FrongilloN20,
  author    = {Rafael M. Frongillo and
               Andrew B. Nobel},
  title     = {Memoryless Sequences for General Losses},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {80:1--80:28},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-042.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FrongilloN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaoYZ20,
  author    = {Chao Gao and
               Yuan Yao and
               Weizhi Zhu},
  title     = {Generative Adversarial Nets for Robust Scatter Estimation: {A} Proper
               Scoring Rule Perspective},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {160:1--160:48},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-462.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaoYZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GassiatCL20,
  author    = {Elisabeth Gassiat and
               Sylvain Le Corff and
               Luc Leh{\'{e}}ricy},
  title     = {Identifiability and Consistent Estimation of Nonparametric Translation
               Hidden Markov Models with General State Space},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {115:1--115:40},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-802.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GassiatCL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GorgenL20,
  author    = {Christiane G{\"{o}}rgen and
               Manuele Leonelli},
  title     = {Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {84:1--84:32},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-668.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GorgenL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GrunwaldM20,
  author    = {Peter D. Gr{\"{u}}nwald and
               Nishant A. Mehta},
  title     = {Fast Rates for General Unbounded Loss Functions: From {ERM} to Generalized
               Bayes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {56:1--56:80},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-488.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GrunwaldM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuS20,
  author    = {Mengyang Gu and
               Weining Shen},
  title     = {Generalized probabilistic principal component analysis of correlated
               data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {13:1--13:41},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-595.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuXHDH20,
  author    = {Bin Gu and
               Wenhan Xian and
               Zhouyuan Huo and
               Cheng Deng and
               Heng Huang},
  title     = {A Unified q-Memorization Framework for Asynchronous Stochastic Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {190:1--190:53},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-434.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuXHDH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuZ20,
  author    = {Jiaying Gu and
               Qing Zhou},
  title     = {Learning Big Gaussian Bayesian Networks: Partition, Estimation and
               Fusion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {158:1--158:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-318.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuhaBM20,
  author    = {Nilabja Guha and
               Veera Baladandayuthapani and
               Bani K. Mallick},
  title     = {Quantile Graphical Models: a Bayesian Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {79:1--79:47},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-231.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuhaBM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuillamonBBN20,
  author    = {Francisco Belch{\'{\i}} Guillam{\'{o}}n and
               Jacek Brodzki and
               Matthew Burfitt and
               Mahesan Niranjan},
  title     = {A Numerical Measure of the Instability of Mapper-Type Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {202:1--202:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-540.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuillamonBBN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoH020,
  author    = {Xin Guo and
               Ting Hu and
               Qiang Wu},
  title     = {Distributed Minimum Error Entropy Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {126:1--126:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-696.html},
  timestamp = {Tue, 26 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoH020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoHHLLLSWXZZ0Z20,
  author    = {Jian Guo and
               He He and
               Tong He and
               Leonard Lausen and
               Mu Li and
               Haibin Lin and
               Xingjian Shi and
               Chenguang Wang and
               Junyuan Xie and
               Sheng Zha and
               Aston Zhang and
               Hang Zhang and
               Zhi Zhang and
               Zhongyue Zhang and
               Shuai Zheng and
               Yi Zhu},
  title     = {GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural
               Language Processing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {23:1--23:7},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-429.html},
  timestamp = {Wed, 03 Feb 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoHHLLLSWXZZ0Z20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HaiderHDG20,
  author    = {Humza Haider and
               Bret Hoehn and
               Sarah Davis and
               Russell Greiner},
  title     = {Effective Ways to Build and Evaluate Individual Survival Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {85:1--85:63},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-772.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HaiderHDG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HashimotoIIMK20,
  author    = {Yuka Hashimoto and
               Isao Ishikawa and
               Masahiro Ikeda and
               Yoichi Matsuo and
               Yoshinobu Kawahara},
  title     = {Krylov Subspace Method for Nonlinear Dynamical Systems with Random
               Noise},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {172:1--172:29},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-993.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HashimotoIIMK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HeLWYZ20,
  author    = {Baihua He and
               Yanyan Liu and
               Yuanshan Wu and
               Guosheng Yin and
               Xingqiu Zhao},
  title     = {Functional Martingale Residual Process for High-Dimensional Cox Regression
               with Model Averaging},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {207:1--207:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-829.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HeLWYZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HectorS20,
  author    = {Emily C. Hector and
               Peter X.{-}K. Song},
  title     = {Doubly Distributed Supervised Learning and Inference with High-Dimensional
               Correlated Outcomes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {173:1--173:35},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-996.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HectorS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HockingRFB20,
  author    = {Toby Dylan Hocking and
               Guillem Rigaill and
               Paul Fearnhead and
               Guillaume Bourque},
  title     = {Constrained Dynamic Programming and Supervised Penalty Learning Algorithms
               for Peak Detection in Genomic Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {87:1--87:40},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-843.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HockingRFB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoffmannHRS20,
  author    = {Franca Hoffmann and
               Bamdad Hosseini and
               Zhi Ren and
               Andrew M. Stuart},
  title     = {Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit
               and One-Hot Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {186:1--186:55},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/15-900.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoffmannHRS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hofmeyr20,
  author    = {David P. Hofmeyr},
  title     = {Connecting Spectral Clustering to Maximum Margins and Level Sets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {18:1--18:35},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-850.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hofmeyr20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoilesKP20,
  author    = {William Hoiles and
               Vikram Krishnamurthy and
               Kunal Pattanayak},
  title     = {Rationally Inattentive Inverse Reinforcement Learning Explains YouTube
               Commenting Behavior},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {170:1--170:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-872.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoilesKP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Huang0ZRSGS20,
  author    = {Biwei Huang and
               Kun Zhang and
               Jiji Zhang and
               Joseph D. Ramsey and
               Ruben Sanchez{-}Romero and
               Clark Glymour and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Causal Discovery from Heterogeneous/Nonstationary Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {89:1--89:53},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-232.html},
  timestamp = {Fri, 11 Dec 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Huang0ZRSGS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JaiswalRH20,
  author    = {Prateek Jaiswal and
               Vinayak A. Rao and
               Harsha Honnappa},
  title     = {Asymptotic Consistency of {\(\alpha\)}-R{\'{e}}nyi-Approximate
               Posteriors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {156:1--156:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-161.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/JaiswalRH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JohndrowOB20,
  author    = {James E. Johndrow and
               Paulo Orenstein and
               Anirban Bhattacharya},
  title     = {Scalable Approximate {MCMC} Algorithms for the Horseshoe Prior},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {73:1--73:61},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-536.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JohndrowOB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KalainathanGD20,
  author    = {Diviyan Kalainathan and
               Olivier Goudet and
               Ritik Dutta},
  title     = {Causal Discovery Toolbox: Uncovering causal relationships in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {37:1--37:5},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-187.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KalainathanGD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Kallus20,
  author    = {Nathan Kallus},
  title     = {Generalized Optimal Matching Methods for Causal Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {62:1--62:54},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-120.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Kallus20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KallusU20,
  author    = {Nathan Kallus and
               Masatoshi Uehara},
  title     = {Double Reinforcement Learning for Efficient Off-Policy Evaluation
               in Markov Decision Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {167:1--167:63},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-827.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KallusU20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KamperSP20,
  author    = {Francois Kamper and
               Sarel Steel and
               Johan A. du Preez},
  title     = {Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {101:1--101:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-101.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KamperSP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KandasamyVNPC0P20,
  author    = {Kirthevasan Kandasamy and
               Karun Raju Vysyaraju and
               Willie Neiswanger and
               Biswajit Paria and
               Christopher R. Collins and
               Jeff Schneider and
               Barnab{\'{a}}s P{\'{o}}czos and
               Eric P. Xing},
  title     = {Tuning Hyperparameters without Grad Students: Scalable and Robust
               Bayesian Optimisation with Dragonfly},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {81:1--81:27},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-223.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KandasamyVNPC0P20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KazemiGJKSFP20,
  author    = {Seyed Mehran Kazemi and
               Rishab Goel and
               Kshitij Jain and
               Ivan Kobyzev and
               Akshay Sethi and
               Peter Forsyth and
               Pascal Poupart},
  title     = {Representation Learning for Dynamic Graphs: {A} Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {70:1--70:73},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-447.html},
  timestamp = {Thu, 15 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KazemiGJKSFP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KeshavarzMA20,
  author    = {Hossein Keshavarz and
               George Michailidis and
               Yves Atchad{\'{e}}},
  title     = {Sequential change-point detection in high-dimensional Gaussian graphical
               models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {82:1--82:57},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-410.html},
  timestamp = {Wed, 03 Feb 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KeshavarzMA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KimG20,
  author    = {Youngseok Kim and
               Chao Gao},
  title     = {Bayesian Model Selection with Graph Structured Sparsity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {109:1--109:61},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-123.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KimG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KnopSTPMJ20,
  author    = {Szymon Knop and
               Przemyslaw Spurek and
               Jacek Tabor and
               Igor T. Podolak and
               Marcin Mazur and
               Stanislaw Jastrzebski},
  title     = {Cramer-Wold Auto-Encoder},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {164:1--164:28},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-560.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KnopSTPMJ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KobakLS20,
  author    = {Dmitry Kobak and
               Jonathan Lomond and
               Benoit Sanchez},
  title     = {The Optimal Ridge Penalty for Real-world High-dimensional Data Can
               Be Zero or Negative due to the Implicit Ridge Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {169:1--169:16},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-844.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KobakLS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KossaifiLKKFA20,
  author    = {Jean Kossaifi and
               Zachary C. Lipton and
               Arinbj{\"{o}}rn Kolbeinsson and
               Aran Khanna and
               Tommaso Furlanello and
               Anima Anandkumar},
  title     = {Tensor Regression Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {123:1--123:21},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-503.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KossaifiLKKFA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Krishnamurthy0S20,
  author    = {Akshay Krishnamurthy and
               John Langford and
               Aleksandrs Slivkins and
               Chicheng Zhang},
  title     = {Contextual Bandits with Continuous Actions: Smoothing, Zooming, and
               Adapting},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {137:1--137:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-650.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Krishnamurthy0S20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KulunchakovM20,
  author    = {Andrei Kulunchakov and
               Julien Mairal},
  title     = {Estimate Sequences for Stochastic Composite Optimization: Variance
               Reduction, Acceleration, and Robustness to Noise},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {155:1--155:52},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-073.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KulunchakovM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LaiTWF20,
  author    = {Zhao{-}Rong Lai and
               Liming Tan and
               Xiaotian Wu and
               Liangda Fang},
  title     = {Loss Control with Rank-one Covariance Estimate for Short-term Portfolio
               Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {97:1--97:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-959.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LaiTWF20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeeLLZ20,
  author    = {Kuang{-}Yao Lee and
               Tianqi Liu and
               Bing Li and
               Hongyu Zhao},
  title     = {Learning Causal Networks via Additive Faithfulness},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {51:1--51:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-252.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeeLLZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LehnertL20,
  author    = {Lucas Lehnert and
               Michael L. Littman},
  title     = {Successor Features Combine Elements of Model-Free and Model-based
               Reinforcement Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {196:1--196:53},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-060.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LehnertL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiC0C20,
  author    = {Boyue Li and
               Shicong Cen and
               Yuxin Chen and
               Yuejie Chi},
  title     = {Communication-Efficient Distributed Optimization in Networks with
               Gradient Tracking and Variance Reduction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {180:1--180:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-210.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiC0C20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiLXX20,
  author    = {Xingxiang Li and
               Runze Li and
               Zhiming Xia and
               Chen Xu},
  title     = {Distributed Feature Screening via Componentwise Debiasing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {24:1--24:32},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-537.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiLXX20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiQLZ20,
  author    = {Tianxi Li and
               Cheng Qian and
               Elizaveta Levina and
               Ji Zhu},
  title     = {High-dimensional Gaussian graphical models on network-linked data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {74:1--74:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-563.html},
  timestamp = {Wed, 02 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiQLZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiW20,
  author    = {Xiaofan Li and
               Andrew B. Whinston},
  title     = {A Model of Fake Data in Data-driven Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {3:1--3:26},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-360.html},
  timestamp = {Tue, 01 Jun 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinC20,
  author    = {Junhong Lin and
               Volkan Cevher},
  title     = {Convergences of Regularized Algorithms and Stochastic Gradient Methods
               with Random Projections},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {20:1--20:44},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-083.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinC20a,
  author    = {Junhong Lin and
               Volkan Cevher},
  title     = {Optimal Convergence for Distributed Learning with Stochastic Gradient
               Methods and Spectral Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {147:1--147:63},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-041.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinC20a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinM20,
  author    = {Jiahe Lin and
               George Michailidis},
  title     = {Regularized Estimation of High-dimensional Factor-Augmented Vector
               Autoregressive {(FAVAR)} Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {117:1--117:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-874.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinNSY20,
  author    = {Qihang Lin and
               Selvaprabu Nadarajah and
               Negar Soheili and
               Tianbao Yang},
  title     = {A Data Efficient and Feasible Level Set Method for Stochastic Convex
               Optimization with Expectation Constraints},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {143:1--143:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1022.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinNSY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinWZ20,
  author    = {Shao{-}Bo Lin and
               Di Wang and
               Ding{-}Xuan Zhou},
  title     = {Distributed Kernel Ridge Regression with Communications},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {93:1--93:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-592.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinWZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LittleMM20,
  author    = {Anna V. Little and
               Mauro Maggioni and
               James M. Murphy},
  title     = {Path-Based Spectral Clustering: Guarantees, Robustness to Outliers,
               and Fast Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {6:1--6:66},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-085.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LittleMM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuB20,
  author    = {Yu Liu and
               Kris De Brabanter},
  title     = {Smoothed Nonparametric Derivative Estimation using Weighted Difference
               Quotients},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {65:1--65:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-246.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuFHGL20,
  author    = {Yue Liu and
               Zhuangyan Fang and
               Yangbo He and
               Zhi Geng and
               Chunchen Liu},
  title     = {Local Causal Network Learning for Finding Pairs of Total and Direct
               Effects},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {148:1--148:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-083.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuFHGL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuH00020,
  author    = {Fanghui Liu and
               Xiaolin Huang and
               Chen Gong and
               Jie Yang and
               Li Li},
  title     = {Learning Data-adaptive Non-parametric Kernels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {208:1--208:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-900.html},
  timestamp = {Mon, 10 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuH00020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuP20,
  author    = {Yating Liu and
               Gilles Pag{\`{e}}s},
  title     = {Convergence Rate of Optimal Quantization and Application to the Clustering
               Performance of the Empirical Measure},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {86:1--86:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-804.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LocatelloBLRGSB20,
  author    = {Francesco Locatello and
               Stefan Bauer and
               Mario Lucic and
               Gunnar R{\"{a}}tsch and
               Sylvain Gelly and
               Bernhard Sch{\"{o}}lkopf and
               Olivier Bachem},
  title     = {A Sober Look at the Unsupervised Learning of Disentangled Representations
               and their Evaluation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {209:1--209:62},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-976.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LocatelloBLRGSB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaMD020,
  author    = {Fan Ma and
               Deyu Meng and
               Xuanyi Dong and
               Yi Yang},
  title     = {Self-paced Multi-view Co-training},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {57:1--57:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-794.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaMD020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaMY20,
  author    = {Zhuang Ma and
               Zongming Ma and
               Hongsong Yuan},
  title     = {Universal Latent Space Model Fitting for Large Networks with Edge
               Covariates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {4:1--4:67},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-470.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaMY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaOSS20,
  author    = {Yao Ma and
               Alex Olshevsky and
               Csaba Szepesv{\'{a}}ri and
               Venkatesh Saligrama},
  title     = {Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced
               Aggregation of Sparsely Interacting Workers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {133:1--133:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-359.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaOSS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MalikPBKBW20,
  author    = {Dhruv Malik and
               Ashwin Pananjady and
               Kush Bhatia and
               Koulik Khamaru and
               Peter L. Bartlett and
               Martin J. Wainwright},
  title     = {Derivative-Free Methods for Policy Optimization: Guarantees for Linear
               Quadratic Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {21:1--21:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-198.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MalikPBKBW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ManchevS20,
  author    = {Nikolay Manchev and
               Michael W. Spratling},
  title     = {Target Propagation in Recurrent Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {7:1--7:33},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-141.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ManchevS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MarschallCS20,
  author    = {Owen Marschall and
               Kyunghyun Cho and
               Cristina Savin},
  title     = {A Unified Framework of Online Learning Algorithms for Training Recurrent
               Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {135:1--135:34},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-562.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MarschallCS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Martens20,
  author    = {James Martens},
  title     = {New Insights and Perspectives on the Natural Gradient Method},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {146:1--146:76},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-678.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Martens20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MartinT20,
  author    = {Ryan Martin and
               Yiqi Tang},
  title     = {Empirical Priors for Prediction in Sparse High-dimensional Linear
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {144:1--144:30},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-152.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MartinT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MengZFQ20,
  author    = {Haomiao Meng and
               Ying{-}Qi Zhao and
               Haoda Fu and
               Xingye Qiao},
  title     = {Near-optimal Individualized Treatment Recommendations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {183:1--183:28},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-334.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MengZFQ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MentchZ20,
  author    = {Lucas Mentch and
               Siyu Zhou},
  title     = {Randomization as Regularization: {A} Degrees of Freedom Explanation
               for Random Forest Success},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {171:1--171:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-905.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MentchZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MetelliPMR20,
  author    = {Alberto Maria Metelli and
               Matteo Papini and
               Nico Montali and
               Marcello Restelli},
  title     = {Importance Sampling Techniques for Policy Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {141:1--141:75},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-124.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MetelliPMR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MohamedRFM20,
  author    = {Shakir Mohamed and
               Mihaela Rosca and
               Michael Figurnov and
               Andriy Mnih},
  title     = {Monte Carlo Gradient Estimation in Machine Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {132:1--132:62},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-346.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MohamedRFM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MohammadiPK20,
  author    = {Reza Mohammadi and
               Matthew T. Pratola and
               Maurits Kaptein},
  title     = {Continuous-Time Birth-Death {MCMC} for Bayesian Regression Tree Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {201:1--201:26},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-307.html},
  timestamp = {Fri, 22 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MohammadiPK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MokhtariHK20,
  author    = {Aryan Mokhtari and
               Hamed Hassani and
               Amin Karbasi},
  title     = {Stochastic Conditional Gradient Methods: From Convex Minimization
               to Submodular Maximization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {105:1--105:49},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-764.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MokhtariHK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MokhtariKTR20,
  author    = {Aryan Mokhtari and
               Alec Koppel and
               Martin Tak{\'{a}}c and
               Alejandro Ribeiro},
  title     = {A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {120:1--120:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-311.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MokhtariKTR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MolybogML20,
  author    = {Igor Molybog and
               Ramtin Madani and
               Javad Lavaei},
  title     = {Conic Optimization for Quadratic Regression Under Sparse Noise},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {195:1--195:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-881.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MolybogML20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MooijMC20,
  author    = {Joris M. Mooij and
               Sara Magliacane and
               Tom Claassen},
  title     = {Joint Causal Inference from Multiple Contexts},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {99:1--99:108},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-123.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MooijMC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NaitzatZL20,
  author    = {Gregory Naitzat and
               Andrey Zhitnikov and
               Lek{-}Heng Lim},
  title     = {Topology of Deep Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {184:1--184:40},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-345.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NaitzatZL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NakadaI20,
  author    = {Ryumei Nakada and
               Masaaki Imaizumi},
  title     = {Adaptive Approximation and Generalization of Deep Neural Network with
               Intrinsic Dimensionality},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {174:1--174:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-002.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NakadaI20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NarvekarPLSTS20,
  author    = {Sanmit Narvekar and
               Bei Peng and
               Matteo Leonetti and
               Jivko Sinapov and
               Matthew E. Taylor and
               Peter Stone},
  title     = {Curriculum Learning for Reinforcement Learning Domains: {A} Framework
               and Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {181:1--181:50},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-212.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NarvekarPLSTS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeykovW020,
  author    = {Matey Neykov and
               Zhaoran Wang and
               Han Liu},
  title     = {Agnostic Estimation for Phase Retrieval},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {121:1--121:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-259.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NeykovW020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NiazadehRW20,
  author    = {Rad Niazadeh and
               Tim Roughgarden and
               Joshua R. Wang},
  title     = {Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular
               Maximization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {125:1--125:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-527.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NiazadehRW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NicholsonWBM20,
  author    = {William B. Nicholson and
               Ines Wilms and
               Jacob Bien and
               David S. Matteson},
  title     = {High Dimensional Forecasting via Interpretable Vector Autoregression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {166:1--166:52},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-777.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NicholsonWBM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NolanMW20,
  author    = {Tui H. Nolan and
               Marianne Menictas and
               Matt P. Wand},
  title     = {Streamlined Variational Inference with Higher Level Random Effects},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {157:1--157:62},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-222.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NolanMW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NovikovIKFO20,
  author    = {Alexander Novikov and
               Pavel Izmailov and
               Valentin Khrulkov and
               Michael Figurnov and
               Ivan V. Oseledets},
  title     = {Tensor Train Decomposition on TensorFlow {(T3F)}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {30:1--30:7},
  year      = {2020},
  url       = {https://www.jmlr.org/papers/v21/18-008.html},
  timestamp = {Wed, 20 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NovikovIKFO20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Park20,
  author    = {Gunwoong Park},
  title     = {Identifiability of Additive Noise Models Using Conditional Variances},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {75:1--75:34},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-664.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Park20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PaulCCMOW20,
  author    = {Supratik Paul and
               Konstantinos I. Chatzilygeroudis and
               Kamil Ciosek and
               Jean{-}Baptiste Mouret and
               Michael A. Osborne and
               Shimon Whiteson},
  title     = {Robust Reinforcement Learning with Bayesian Optimisation and Quadrature},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {151:1--151:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-216.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/PaulCCMOW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PeiMV20,
  author    = {Yan Ru Pei and
               Haik Manukian and
               Massimiliano Di Ventra},
  title     = {Generating Weighted {MAX-2-SAT} Instances with Frustrated Loops: an
               {RBM} Case Study},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {159:1--159:55},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-368.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/PeiMV20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PhamNPT20,
  author    = {Nhan H. Pham and
               Lam M. Nguyen and
               Dzung T. Phan and
               Quoc Tran{-}Dinh},
  title     = {ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite
               Nonconvex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {110:1--110:48},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-248.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/PhamNPT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PircalabeluC20,
  author    = {Eugen Pircalabelu and
               Gerda Claeskens},
  title     = {Community-Based Group Graphical Lasso},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {64:1--64:32},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-181.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PircalabeluC20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Polsterl20,
  author    = {Sebastian P{\"{o}}lsterl},
  title     = {scikit-survival: {A} Library for Time-to-Event Analysis Built on Top
               of scikit-learn},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {212:1--212:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-729.html},
  timestamp = {Fri, 09 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Polsterl20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ProbstR20,
  author    = {Malte Probst and
               Franz Rothlauf},
  title     = {Harmless Overfitting: Using Denoising Autoencoders in Estimation of
               Distribution Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {78:1--78:31},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-543.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ProbstR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RaffelSRLNMZLL20,
  author    = {Colin Raffel and
               Noam Shazeer and
               Adam Roberts and
               Katherine Lee and
               Sharan Narang and
               Michael Matena and
               Yanqi Zhou and
               Wei Li and
               Peter J. Liu},
  title     = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text
               Transformer},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {140:1--140:67},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-074.html},
  timestamp = {Fri, 05 Feb 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RaffelSRLNMZLL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RainforthGWZ20,
  author    = {Tom Rainforth and
               Adam Golinski and
               Frank Wood and
               Sheheryar Zaidi},
  title     = {Target-Aware Bayesian Inference: How to Beat Optimal Conventional
               Estimators},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {88:1--88:54},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-102.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RainforthGWZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RashidSWFFW20,
  author    = {Tabish Rashid and
               Mikayel Samvelyan and
               Christian Schr{\"{o}}der de Witt and
               Gregory Farquhar and
               Jakob N. Foerster and
               Shimon Whiteson},
  title     = {Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {178:1--178:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-081.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RashidSWFFW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RicatteGT20,
  author    = {Thomas Ricatte and
               R{\'{e}}mi Gilleron and
               Marc Tommasi},
  title     = {Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and
               their Spectral Theory},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {48:1--48:18},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/13-561.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RicatteGT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RichardsR20,
  author    = {Dominic Richards and
               Patrick Rebeschini},
  title     = {Graph-Dependent Implicit Regularisation for Distributed Stochastic
               Subgradient Descent},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {34:1--34:44},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-638.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RichardsR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RontsisOG20,
  author    = {Nikitas Rontsis and
               Michael A. Osborne and
               Paul J. Goulart},
  title     = {Distributionally Ambiguous Optimization for Batch Bayesian Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {149:1--149:26},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-211.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RontsisOG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RotnitzkyS20,
  author    = {Andrea Rotnitzky and
               Ezequiel Smucler},
  title     = {Efficient Adjustment Sets for Population Average Causal Treatment
               Effect Estimation in Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {188:1--188:86},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1026.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RotnitzkyS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SalahTL20,
  author    = {Aghiles Salah and
               Quoc{-}Tuan Truong and
               Hady W. Lauw},
  title     = {Cornac: {A} Comparative Framework for Multimodal Recommender Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {95:1--95:5},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-805.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SalahTL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SalehkaleybarGK20,
  author    = {Saber Salehkaleybar and
               AmirEmad Ghassami and
               Negar Kiyavash and
               Kun Zhang},
  title     = {Learning Linear Non-Gaussian Causal Models in the Presence of Latent
               Variables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {39:1--39:24},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-260.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SalehkaleybarGK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SamantaDJGCGG20,
  author    = {Bidisha Samanta and
               Abir De and
               Gourhari Jana and
               Vicen{\c{c}} G{\'{o}}mez and
               Pratim Kumar Chattaraj and
               Niloy Ganguly and
               Manuel Gomez{-}Rodriguez},
  title     = {{NEVAE:} {A} Deep Generative Model for Molecular Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {114:1--114:33},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-671.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SamantaDJGCGG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SchreiberBN20,
  author    = {Jacob M. Schreiber and
               Jeffrey A. Bilmes and
               William Stafford Noble},
  title     = {apricot: Submodular selection for data summarization in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {161:1--161:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-467.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SchreiberBN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShiLS20,
  author    = {Chengchun Shi and
               Wenbin Lu and
               Rui Song},
  title     = {Breaking the Curse of Nonregularity with Subagging - Inference of
               the Mean Outcome under Optimal Treatment Regimes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {176:1--176:67},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-066.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShiLS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShiltonRP20,
  author    = {Alistair Shilton and
               Sutharshan Rajasegarar and
               Marimuthu Palaniswami},
  title     = {Multiclass Anomaly Detector: the {CS++} Support Vector Machine},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {213:1--213:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-122.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShiltonRP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SifaouKA20,
  author    = {Houssem Sifaou and
               Abla Kammoun and
               Mohamed{-}Slim Alouini},
  title     = {High-dimensional Linear Discriminant Analysis Classifier for Spiked
               Covariance Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {112:1--112:24},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-428.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SifaouKA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SiglidisNLGSV20,
  author    = {Giannis Siglidis and
               Giannis Nikolentzos and
               Stratis Limnios and
               Christos Giatsidis and
               Konstantinos Skianis and
               Michalis Vazirgiannis},
  title     = {GraKeL: {A} Graph Kernel Library in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {54:1--54:5},
  year      = {2020},
  url       = {https://www.jmlr.org/papers/v21/18-370.html},
  timestamp = {Thu, 12 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SiglidisNLGSV20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SilvaG20,
  author    = {Andr{\'{e}} Belotto da Silva and
               Maxime Gazeau},
  title     = {A General System of Differential Equations to Model First-Order Adaptive
               Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {129:1--129:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-808.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SilvaG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SlawskiB020,
  author    = {Martin Slawski and
               Emanuel Ben{-}David and
               Ping Li},
  title     = {Two-Stage Approach to Multivariate Linear Regression with Sparsely
               Mismatched Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {204:1--204:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-645.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SlawskiB020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SongDRB20,
  author    = {Hyebin Song and
               Ran Dai and
               Garvesh Raskutti and
               Rina Foygel Barber},
  title     = {Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional
               Noisy Labels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {168:1--168:58},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-833.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SongDRB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SpiridonoffOP20,
  author    = {Artin Spiridonoff and
               Alex Olshevsky and
               Ioannis Ch. Paschalidis},
  title     = {Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal
               and Network-Independent Performance for Strongly Convex Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {58:1--58:47},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-813.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SpiridonoffOP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SuarezGH20,
  author    = {Juan{-}Luis Su{\'{a}}rez and
               Salvador Garc{\'{\i}}a and
               Francisco Herrera},
  title     = {pyDML: {A} Python Library for Distance Metric Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {96:1--96:7},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-864.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/SuarezGH20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TangFD20,
  author    = {Cheng Yong Tang and
               Ethan X. Fang and
               Yuexiao Dong},
  title     = {High-Dimensional Interactions Detection with Sparse Principal Hessian
               Matrix},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {19:1--19:25},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-071.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TangFD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TavenardFVDAHPY20,
  author    = {Romain Tavenard and
               Johann Faouzi and
               Gilles Vandewiele and
               Felix Divo and
               Guillaume Androz and
               Chester Holtz and
               Marie Payne and
               Roman Yurchak and
               Marc Ru{\ss}wurm and
               Kushal Kolar and
               Eli Woods},
  title     = {Tslearn, {A} Machine Learning Toolkit for Time Series Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {118:1--118:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-091.html},
  timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TavenardFVDAHPY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TenzerMDNS20,
  author    = {Yaniv Tenzer and
               Amit Moscovich and
               Mary Frances Dorn and
               Boaz Nadler and
               Clifford H. Spiegelman},
  title     = {Beyond Trees: Classification with Sparse Pairwise Dependencies},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {189:1--189:33},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-348.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TenzerMDNS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ThalmeierKTG20,
  author    = {Dominik Thalmeier and
               Hilbert J. Kappen and
               Simone Totaro and
               Vicen{\c{c}} G{\'{o}}mez},
  title     = {Adaptive Smoothing for Path Integral Control},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {191:1--191:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-624.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ThalmeierKTG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TiboJF20,
  author    = {Alessandro Tibo and
               Manfred Jaeger and
               Paolo Frasconi},
  title     = {Learning and Interpreting Multi-Multi-Instance Learning Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {193:1--193:60},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-811.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TiboJF20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Tino20,
  author    = {Peter Ti{\~{n}}o},
  title     = {Dynamical Systems as Temporal Feature Spaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {44:1--44:42},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-589.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Tino20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TomitaBSCPFPYBM20,
  author    = {Tyler M. Tomita and
               James Browne and
               Cencheng Shen and
               Jaewon Chung and
               Jesse Patsolic and
               Benjamin Falk and
               Carey E. Priebe and
               Jason Yim and
               Randal C. Burns and
               Mauro Maggioni and
               Joshua T. Vogelstein},
  title     = {Sparse Projection Oblique Randomer Forests},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {104:1--104:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-664.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TomitaBSCPFPYBM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TongXWF20,
  author    = {Xin Tong and
               Lucy Xia and
               Jiacheng Wang and
               Yang Feng},
  title     = {Neyman-Pearson classification: parametrics and sample size requirement},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {12:1--12:48},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-577.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TongXWF20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TonoliniRTFM20,
  author    = {Francesco Tonolini and
               Jack Radford and
               Alex Turpin and
               Daniele Faccio and
               Roderick Murray{-}Smith},
  title     = {Variational Inference for Computational Imaging Inverse Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {179:1--179:46},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/20-151.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TonoliniRTFM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TrillosKSS20,
  author    = {Nicol{\'{a}}s Garc{\'{\i}}a Trillos and
               Zachary Kaplan and
               Thabo Samakhoana and
               Daniel Sanz{-}Alonso},
  title     = {On the consistency of graph-based Bayesian semi-supervised learning
               and the scalability of sampling algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {28:1--28:47},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-698.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TrillosKSS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TuoW20,
  author    = {Rui Tuo and
               Wenjia Wang},
  title     = {Kriging Prediction with Isotropic Matern Correlations: Robustness
               and Experimental Designs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {187:1--187:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1045.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TuoW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ValeraPLG20,
  author    = {Isabel Valera and
               Melanie F. Pradier and
               Maria Lomeli and
               Zoubin Ghahramani},
  title     = {General Latent Feature Models for Heterogeneous Datasets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {100:1--100:49},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-328.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ValeraPLG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VandaeleSB20,
  author    = {Robin Vandaele and
               Yvan Saeys and
               Tijl De Bie},
  title     = {Mining Topological Structure in Graphs through Forest Representations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {215:1--215:68},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-1032.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/VandaeleSB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VazelhesCTVB20,
  author    = {William de Vazelhes and
               C. J. Carey and
               Yuan Tang and
               Nathalie Vauquier and
               Aur{\'{e}}lien Bellet},
  title     = {metric-learn: Metric Learning Algorithms in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {138:1--138:6},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-678.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/VazelhesCTVB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VehtariGSJTSBCS20,
  author    = {Aki Vehtari and
               Andrew Gelman and
               Tuomas Sivula and
               Pasi Jyl{\"{a}}nki and
               Dustin Tran and
               Swupnil Sahai and
               Paul Blomstedt and
               John P. Cunningham and
               David Schiminovich and
               Christian P. Robert},
  title     = {Expectation Propagation as a Way of Life: {A} Framework for Bayesian
               Inference on Partitioned Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {17:1--17:53},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-817.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VehtariGSJTSBCS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Vipond20,
  author    = {Oliver Vipond},
  title     = {Multiparameter Persistence Landscapes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {61:1--61:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-054.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Vipond20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangL20,
  author    = {Miaoyan Wang and
               Lexin Li},
  title     = {Learning from Binary Multiway Data: Probabilistic Tensor Decomposition
               and its Statistical Optimality},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {154:1--154:38},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-766.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLJ20,
  author    = {Zhe Wang and
               Yingbin Liang and
               Pengsheng Ji},
  title     = {Spectral Algorithms for Community Detection in Directed Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {153:1--153:45},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-581.html},
  timestamp = {Thu, 02 Sep 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLJ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangW20,
  author    = {Yazhen Wang and
               Shang Wu},
  title     = {Asymptotic Analysis via Stochastic Differential Equations of Gradient
               Descent Algorithms in Statistical and Computational Paradigms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {199:1--199:103},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-245.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangZZ20,
  author    = {Haoran Wang and
               Thaleia Zariphopoulou and
               Xun Yu Zhou},
  title     = {Reinforcement Learning in Continuous Time and Space: {A} Stochastic
               Control Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {198:1--198:34},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-144.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangZZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WenLSLH020,
  author    = {Zeyi Wen and
               Hanfeng Liu and
               Jiashuai Shi and
               Qinbin Li and
               Bingsheng He and
               Jian Chen},
  title     = {ThunderGBM: Fast GBDTs and Random Forests on GPUs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {108:1--108:5},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-095.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WenLSLH020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WilliamsonZD20,
  author    = {Sinead A. Williamson and
               Michael Minyi Zhang and
               Paul Damien},
  title     = {A New Class of Time Dependent Latent Factor Models with Applications},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {27:1--27:24},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/16-639.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WilliamsonZD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WuXSP20,
  author    = {Chong Wu and
               Gongjun Xu and
               Xiaotong Shen and
               Wei Pan},
  title     = {A Regularization-Based Adaptive Test for High-Dimensional GLMs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {128:1--128:67},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-807.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WuXSP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/XingLMZ20,
  author    = {Xin Xing and
               Meimei Liu and
               Ping Ma and
               Wenxuan Zhong},
  title     = {Minimax Nonparametric Parallelism Test},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {94:1--94:47},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-800.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/XingLMZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/XuBSD20,
  author    = {Yichong Xu and
               Sivaraman Balakrishnan and
               Aarti Singh and
               Artur Dubrawski},
  title     = {Regression with Comparisons: Escaping the Curse of Dimensionality
               with Ordinal Information},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {162:1--162:54},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-505.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/XuBSD20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/XuWBHBAZG20,
  author    = {Ganggang Xu and
               Ming Wang and
               Jiangze Bian and
               Hui Huang and
               Timothy R. Burch and
               Sandro C. Andrade and
               Jingfei Zhang and
               Yongtao Guan},
  title     = {Semi-parametric Learning of Structured Temporal Point Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {192:1--192:39},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-735.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/XuWBHBAZG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangCHWJ20,
  author    = {Puyudi Yang and
               Jianbo Chen and
               Cho{-}Jui Hsieh and
               Jane{-}Ling Wang and
               Michael I. Jordan},
  title     = {Greedy Attack and Gumbel Attack: Generating Adversarial Examples for
               Discrete Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {43:1--43:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-569.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangCHWJ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YeLZ20,
  author    = {Haishan Ye and
               Luo Luo and
               Zhihua Zhang},
  title     = {Nesterov's Acceleration for Approximate Newton},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {142:1--142:37},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-265.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/YeLZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuGK20,
  author    = {Ming Yu and
               Varun Gupta and
               Mladen Kolar},
  title     = {Estimation of a Low-rank Topic-Based Model for Information Cascades},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {71:1--71:47},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-496.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuGK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuGK20a,
  author    = {Ming Yu and
               Varun Gupta and
               Mladen Kolar},
  title     = {Simultaneous Inference for Pairwise Graphical Models with Generalized
               Score Matching},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {91:1--91:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-383.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuGK20a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Yuan020,
  author    = {Xiao{-}Tong Yuan and
               Ping Li},
  title     = {On Convergence of Distributed Approximate Newton Methods: Globalization,
               Sharper Bounds and Beyond},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {206:1--206:51},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-764.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Yuan020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Yuan0W0M20,
  author    = {Xiao{-}Tong Yuan and
               Bo Liu and
               Lezi Wang and
               Qingshan Liu and
               Dimitris N. Metaxas},
  title     = {Dual Iterative Hard Thresholding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {152:1--152:50},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-487.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Yuan0W0M20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuanZ020,
  author    = {Xiaoming Yuan and
               Shangzhi Zeng and
               Jin Zhang},
  title     = {Discerning the Linear Convergence of {ADMM} for Structured Convex
               Optimization through the Lens of Variational Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {83:1--83:75},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-562.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuanZ020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaiYL0020,
  author    = {Yuexiang Zhai and
               Zitong Yang and
               Zhenyu Liao and
               John Wright and
               Yi Ma},
  title     = {Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal
               Group},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {165:1--165:68},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-755.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaiYL0020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangMZ20,
  author    = {Xin Zhang and
               Qing Mai and
               Hui Zou},
  title     = {The Maximum Separation Subspace in Sufficient Dimension Reduction
               with Categorical Response},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {29:1--29:36},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/17-788.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangMZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Zhou0G20,
  author    = {Dongruo Zhou and
               Pan Xu and
               Quanquan Gu},
  title     = {Stochastic Nested Variance Reduction for Nonconvex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {103:1--103:63},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/18-447.html},
  timestamp = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Zhou0G20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouA20,
  author    = {Zhixin Zhou and
               Arash A. Amini},
  title     = {Optimal Bipartite Network Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {21},
  pages     = {40:1--40:68},
  year      = {2020},
  url       = {http://jmlr.org/papers/v21/19-299.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhouA20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0001R19,
  author    = {Edward Barker and
               Charl J. Ras},
  title     = {Unsupervised Basis Function Adaptation for Reinforcement Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {128:1--128:73},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-392.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0001R19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0001VB19,
  author    = {Ashwin Srinivasan and
               Lovekesh Vig and
               Michael Bain},
  title     = {Logical Explanations for Deep Relational Machines Using Relevance
               Information},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {130:1--130:47},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-517.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0001VB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0004AH19,
  author    = {Ali Ahmed and
               Alireza Aghasi and
               Paul Hand},
  title     = {Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {157:1--157:28},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-332.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0004AH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0005YJZ19,
  author    = {Lijun Zhang and
               Tianbao Yang and
               Rong Jin and
               Zhi{-}Hua Zhou},
  title     = {Relative Error Bound Analysis for Nuclear Norm Regularized Matrix
               Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {97:1--97:22},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/15-504.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0005YJZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0005ZY19,
  author    = {Jie Wang and
               Zhanqiu Zhang and
               Jieping Ye},
  title     = {Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition
               of Convex Sets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {163:1--163:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-383.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0005ZY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/0033W19,
  author    = {Bin Li and
               Yik{-}Chung Wu},
  title     = {Convergence of Gaussian Belief Propagation Under General Pairwise
               Factorization: Connecting Gaussian {MRF} with Pairwise Linear Gaussian
               Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {144:1--144:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-133.html},
  timestamp = {Thu, 05 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/0033W19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Agrell19,
  author    = {Christian Agrell},
  title     = {Gaussian Processes with Linear Operator Inequality Constraints},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {135:1--135:36},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-065.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Agrell19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AhsenV19,
  author    = {Mehmet Eren Ahsen and
               Mathukumalli Vidyasagar},
  title     = {An Approach to One-Bit Compressed Sensing Based on Probably Approximately
               Correct Learning Theory},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {11:1--11:23},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-504.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AhsenV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AhsenVS19,
  author    = {Mehmet Eren Ahsen and
               Robert M. Vogel and
               Gustavo A. Stolovitzky},
  title     = {Unsupervised Evaluation and Weighted Aggregation of Ranked Classification
               Predictions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {166:1--166:40},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-094.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AhsenVS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlayaBGG19,
  author    = {Mokhtar Z. Alaya and
               Simon Bussy and
               St{\'{e}}phane Ga{\"{\i}}ffas and
               Agathe Guilloux},
  title     = {Binarsity: a penalization for one-hot encoded features in linear supervised
               learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {118:1--118:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-170.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlayaBGG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlayaK19,
  author    = {Mokhtar Z. Alaya and
               Olga Klopp},
  title     = {Collective Matrix Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {148:1--148:43},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-483.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlayaK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlberLSHSMSMDK19,
  author    = {Maximilian Alber and
               Sebastian Lapuschkin and
               Philipp Seegerer and
               Miriam H{\"{a}}gele and
               Kristof T. Sch{\"{u}}tt and
               Gr{\'{e}}goire Montavon and
               Wojciech Samek and
               Klaus{-}Robert M{\"{u}}ller and
               Sven D{\"{a}}hne and
               Pieter{-}Jan Kindermans},
  title     = {iNNvestigate Neural Networks!},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {93:1--93:8},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-540.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlberLSHSMSMDK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AltschulerBM19,
  author    = {Jason Altschuler and
               Victor{-}Emmanuel Brunel and
               Alan Malek},
  title     = {Best Arm Identification for Contaminated Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {91:1--91:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-395.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AltschulerBM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AriafarCBD19,
  author    = {Setareh Ariafar and
               Jaume Coll{-}Font and
               Dana H. Brooks and
               Jennifer G. Dy},
  title     = {{ADMMBO:} Bayesian Optimization with Unknown Constraints using {ADMM}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {123:1--123:26},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-227.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AriafarCBD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArlotCH19,
  author    = {Sylvain Arlot and
               Alain Celisse and
               Za{\"{\i}}d Harchaoui},
  title     = {A Kernel Multiple Change-point Algorithm via Model Selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {162:1--162:56},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-155.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArlotCH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AzulayW19,
  author    = {Aharon Azulay and
               Yair Weiss},
  title     = {Why do deep convolutional networks generalize so poorly to small image
               transformations?},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {184:1--184:25},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-519.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AzulayW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BalcanLSW019,
  author    = {Maria{-}Florina Balcan and
               Yingyu Liang and
               Zhao Song and
               David P. Woodruff and
               Hongyang Zhang},
  title     = {Non-Convex Matrix Completion and Related Problems via Strong Duality},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {102:1--102:56},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-611.html},
  timestamp = {Wed, 02 Dec 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BalcanLSW019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BartlettHLM19,
  author    = {Peter L. Bartlett and
               Nick Harvey and
               Christopher Liaw and
               Abbas Mehrabian},
  title     = {Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise
               Linear Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {63:1--63:17},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-612.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BartlettHLM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BeckerCJ19,
  author    = {Sebastian Becker and
               Patrick Cheridito and
               Arnulf Jentzen},
  title     = {Deep Optimal Stopping},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {74:1--74:25},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-232.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BeckerCJ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BeimelNS19,
  author    = {Amos Beimel and
               Kobbi Nissim and
               Uri Stemmer},
  title     = {Characterizing the Sample Complexity of Pure Private Learners},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {146:1--146:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-269.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BeimelNS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BerkenkampSK19,
  author    = {Felix Berkenkamp and
               Angela P. Schoellig and
               Andreas Krause},
  title     = {No-Regret Bayesian Optimization with Unknown Hyperparameters},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {50:1--50:24},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-213.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/BerkenkampSK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BhadraDLPW19,
  author    = {Anindya Bhadra and
               Jyotishka Datta and
               Yunfan Li and
               Nicholas G. Polson and
               Brandon T. Willard},
  title     = {Prediction Risk for the Horseshoe Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {78:1--78:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-321.html},
  timestamp = {Fri, 30 Jul 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BhadraDLPW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BiessmannRSNSTL19,
  author    = {Felix Bie{\ss}mann and
               Tammo Rukat and
               Philipp Schmidt and
               Prathik Naidu and
               Sebastian Schelter and
               Andrey Taptunov and
               Dustin Lange and
               David Salinas},
  title     = {DataWig: Missing Value Imputation for Tables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {175:1--175:6},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-753.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BiessmannRSNSTL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BiettiM19,
  author    = {Alberto Bietti and
               Julien Mairal},
  title     = {Group Invariance, Stability to Deformations, and Complexity of Deep
               Convolutional Representations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {25:1--25:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-190.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BiettiM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BinghamCJOPKSSH19,
  author    = {Eli Bingham and
               Jonathan P. Chen and
               Martin Jankowiak and
               Fritz Obermeyer and
               Neeraj Pradhan and
               Theofanis Karaletsos and
               Rohit Singh and
               Paul A. Szerlip and
               Paul Horsfall and
               Noah D. Goodman},
  title     = {Pyro: Deep Universal Probabilistic Programming},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {28:1--28:6},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-403.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BinghamCJOPKSSH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BohnRG19,
  author    = {Bastian Bohn and
               Christian Rieger and
               Michael Griebel},
  title     = {A Representer Theorem for Deep Kernel Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {64:1--64:32},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-621.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BohnRG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BonillaKD19,
  author    = {Edwin V. Bonilla and
               Karl Krauth and
               Amir Dezfouli},
  title     = {Generic Inference in Latent Gaussian Process Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {117:1--117:63},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-437.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BonillaKD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BorboudakisT19,
  author    = {Giorgos Borboudakis and
               Ioannis Tsamardinos},
  title     = {Forward-Backward Selection with Early Dropping},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {8:1--8:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-334.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BorboudakisT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BouttierG19,
  author    = {Cl{\'{e}}ment Bouttier and
               Ioana Gavra},
  title     = {Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {4:1--4:45},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-588.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BouttierG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BraunPZ19,
  author    = {G{\'{a}}bor Braun and
               Sebastian Pokutta and
               Daniel Zink},
  title     = {Lazifying Conditional Gradient Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {71:1--71:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-114.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BraunPZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bravo-MarquezFP19,
  author    = {Felipe Bravo{-}Marquez and
               Eibe Frank and
               Bernhard Pfahringer and
               Saif M. Mohammad},
  title     = {AffectiveTweets: a Weka Package for Analyzing Affect in Tweets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {92:1--92:6},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-450.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bravo-MarquezFP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BubeckDHN19,
  author    = {S{\'{e}}bastien Bubeck and
               Nikhil R. Devanur and
               Zhiyi Huang and
               Rad Niazadeh},
  title     = {Multi-scale Online Learning: Theory and Applications to Online Auctions
               and Pricing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {62:1--62:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-498.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BubeckDHN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BunNS19,
  author    = {Mark Bun and
               Kobbi Nissim and
               Uri Stemmer},
  title     = {Simultaneous Private Learning of Multiple Concepts},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {94:1--94:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-549.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BunNS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Burkhardt019,
  author    = {Sophie Burkhardt and
               Stefan Kramer},
  title     = {Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder
               Topic Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {131:1--131:27},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-569.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Burkhardt019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CaiCW19,
  author    = {HanQin Cai and
               Jian{-}Feng Cai and
               Ke Wei},
  title     = {Accelerated Alternating Projections for Robust Principal Component
               Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {20:1--20:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-022.html},
  timestamp = {Wed, 25 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/CaiCW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CampbellB19,
  author    = {Trevor Campbell and
               Tamara Broderick},
  title     = {Automated Scalable Bayesian Inference via Hilbert Coresets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {15:1--15:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-613.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CampbellB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CastroTKKG19,
  author    = {Daniel Coelho de Castro and
               Jeremy Tan and
               Bernhard Kainz and
               Ender Konukoglu and
               Ben Glocker},
  title     = {Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {178:1--178:29},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-033.html},
  timestamp = {Tue, 06 Oct 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CastroTKKG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Cesa-BianchiGM19,
  author    = {Nicol{\`{o}} Cesa{-}Bianchi and
               Claudio Gentile and
               Yishay Mansour},
  title     = {Delay and Cooperation in Nonstochastic Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {17:1--17:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-631.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Cesa-BianchiGM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChazelleW19,
  author    = {Bernard Chazelle and
               Chu Wang},
  title     = {Iterated Learning in Dynamic Social Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {29:1--29:28},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-539.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChazelleW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenHLHJWZ19,
  author    = {Yuntao Chen and
               Chenxia Han and
               Yanghao Li and
               Zehao Huang and
               Yi Jiang and
               Naiyan Wang and
               Zhaoxiang Zhang},
  title     = {SimpleDet: {A} Simple and Versatile Distributed Framework for Object
               Detection and Instance Recognition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {156:1--156:8},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-205.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenHLHJWZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenL19,
  author    = {Ji Chen and
               Xiaodong Li},
  title     = {Model-free Nonconvex Matrix Completion: Local Minima Analysis and
               Applications in Memory-efficient Kernel {PCA}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {142:1--142:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-776.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenRY19,
  author    = {Han Chen and
               Garvesh Raskutti and
               Ming Yuan},
  title     = {Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {5:1--5:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-607.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenRY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenV19,
  author    = {Hubie Chen and
               Matthew Valeriote},
  title     = {Learnability of Solutions to Conjunctive Queries},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {67:1--67:28},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-734.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenYW19,
  author    = {Yichen Chen and
               Yinyu Ye and
               Mengdi Wang},
  title     = {Approximation Hardness for {A} Class of Sparse Optimization Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {38:1--38:27},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-373.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenYW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChewWKNRHB19,
  author    = {Rob Chew and
               Michael Wenger and
               Caroline Kery and
               Jason Nance and
               Keith Richards and
               Emily Hadley and
               Peter Baumgartner},
  title     = {{SMART:} An Open Source Data Labeling Platform for Supervised Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {82:1--82:5},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-859.html},
  timestamp = {Mon, 11 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChewWKNRHB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChungPBVHV19,
  author    = {Jaewon Chung and
               Benjamin D. Pedigo and
               Eric W. Bridgeford and
               Bijan K. Varjavand and
               Hayden S. Helm and
               Joshua T. Vogelstein},
  title     = {GraSPy: Graph Statistics in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {158:1--158:7},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-490.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChungPBVHV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CortesMM19,
  author    = {Corinna Cortes and
               Mehryar Mohri and
               Andr{\'{e}}s Mu{\~{n}}oz Medina},
  title     = {Adaptation Based on Generalized Discrepancy},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {1:1--1:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/15-192.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CortesMM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CotterJGWNYS19,
  author    = {Andrew Cotter and
               Heinrich Jiang and
               Maya R. Gupta and
               Serena Wang and
               Taman Narayan and
               Seungil You and
               Karthik Sridharan},
  title     = {Optimization with Non-Differentiable Constraints with Applications
               to Fairness, Recall, Churn, and Other Goals},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {172:1--172:59},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-616.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CotterJGWNYS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CsikosMK19,
  author    = {M{\'{o}}nika Csik{\'{o}}s and
               Nabil H. Mustafa and
               Andrey Kupavskii},
  title     = {Tight Lower Bounds on the VC-dimension of Geometric Set Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {81:1--81:8},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-719.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CsikosMK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DaiWSQ19,
  author    = {Ben Dai and
               Junhui Wang and
               Xiaotong Shen and
               Annie Qu},
  title     = {Smooth neighborhood recommender systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {16:1--16:24},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-629.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DaiWSQ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DanceS19,
  author    = {Christopher R. Dance and
               Tomi Silander},
  title     = {Optimal Policies for Observing Time Series and Related Restless Bandit
               Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {35:1--35:93},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-185.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DanceS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Daneshmand0SFS19,
  author    = {Amir Daneshmand and
               Ying Sun and
               Gesualdo Scutari and
               Francisco Facchinei and
               Brian M. Sadler},
  title     = {Decentralized Dictionary Learning Over Time-Varying Digraphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {139:1--139:62},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-534.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Daneshmand0SFS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DangQKTV19,
  author    = {Khue{-}Dung Dang and
               Matias Quiroz and
               Robert Kohn and
               Minh{-}Ngoc Tran and
               Mattias Villani},
  title     = {Hamiltonian Monte Carlo with Energy Conserving Subsampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {100:1--100:31},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-452.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DangQKTV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuchiN19,
  author    = {John C. Duchi and
               Hongseok Namkoong},
  title     = {Variance-based Regularization with Convex Objectives},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {68:1--68:55},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-750.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuchiN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DurmusMM19,
  author    = {Alain Durmus and
               Szymon Majewski and
               Blazej Miasojedow},
  title     = {Analysis of Langevin Monte Carlo via Convex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {73:1--73:46},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-173.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DurmusMM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DwivediCW019,
  author    = {Raaz Dwivedi and
               Yuansi Chen and
               Martin J. Wainwright and
               Bin Yu},
  title     = {Log-concave sampling: Metropolis-Hastings algorithms are fast},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {183:1--183:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-306.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DwivediCW019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EftekhariOBW19,
  author    = {Armin Eftekhari and
               Gregory Ongie and
               Laura Balzano and
               Michael B. Wakin},
  title     = {Streaming Principal Component Analysis From Incomplete Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {86:1--86:62},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-627.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/EftekhariOBW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/El-BachirD19,
  author    = {Yousra El{-}Bachir and
               Anthony C. Davison},
  title     = {Fast Automatic Smoothing for Generalized Additive Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {173:1--173:27},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-659.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/El-BachirD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElserSY19,
  author    = {Veit Elser and
               Dan Schmidt and
               Jonathan S. Yedidia},
  title     = {Monotone Learning with Rectified Wire Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {27:1--27:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-281.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElserSY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElskenMH19,
  author    = {Thomas Elsken and
               Jan Hendrik Metzen and
               Frank Hutter},
  title     = {Neural Architecture Search: {A} Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {55:1--55:21},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-598.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElskenMH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ErdogduBD19,
  author    = {Murat A. Erdogdu and
               Mohsen Bayati and
               Lee H. Dicker},
  title     = {Scalable Approximations for Generalized Linear Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {7:1--7:45},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-279.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ErdogduBD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FanDL19,
  author    = {Yingying Fan and
               Emre Demirkaya and
               Jinchi Lv},
  title     = {Nonuniformity of P-values Can Occur Early in Diverging Dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {77:1--77:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-314.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FanDL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FattahiS19,
  author    = {Salar Fattahi and
               Somayeh Sojoudi},
  title     = {Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {10:1--10:44},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-501.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FattahiS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FerrerM19,
  author    = {Luciana Ferrer and
               Mitchell McLaren},
  title     = {Joint {PLDA} for Simultaneous Modeling of Two Factors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {24:1--24:29},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-134.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FerrerM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FisherRD19,
  author    = {Aaron Fisher and
               Cynthia Rudin and
               Francesca Dominici},
  title     = {All Models are Wrong, but Many are Useful: Learning a Variable's Importance
               by Studying an Entire Class of Prediction Models Simultaneously},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {177:1--177:81},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-760.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FisherRD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FranksH19,
  author    = {Alexander M. Franks and
               Peter Hoff},
  title     = {Shared Subspace Models for Multi-Group Covariance Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {171:1--171:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-484.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FranksH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaoGSWW19,
  author    = {Chao Gao and
               Dan Garber and
               Nathan Srebro and
               Jialei Wang and
               Weiran Wang},
  title     = {Stochastic Canonical Correlation Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {167:1--167:46},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-095.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaoGSWW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GautierPBV19,
  author    = {Guillaume Gautier and
               Guillermo Polito and
               R{\'{e}}mi Bardenet and
               Michal Valko},
  title     = {DPPy: {DPP} Sampling with Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {180:1--180:7},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-179.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GautierPBV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GeLJLZWZ19,
  author    = {Jason Ge and
               Xingguo Li and
               Haoming Jiang and
               Han Liu and
               Tong Zhang and
               Mengdi Wang and
               Tuo Zhao},
  title     = {Picasso: {A} Sparse Learning Library for High Dimensional Data Analysis
               in {R} and Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {44:1--44:5},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-722.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GeLJLZWZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GelbhartE19,
  author    = {Roei Gelbhart and
               Ran El{-}Yaniv},
  title     = {The Relationship Between Agnostic Selective Classification, Active
               Learning and the Disagreement Coefficient},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {33:1--33:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-147.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GelbhartE19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GhoshYD19,
  author    = {Soumya Ghosh and
               Jiayu Yao and
               Finale Doshi{-}Velez},
  title     = {Model Selection in Bayesian Neural Networks via Horseshoe Priors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {182:1--182:46},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-236.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GhoshYD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GlimsdalG19,
  author    = {Sondre Glimsdal and
               Ole{-}Christoffer Granmo},
  title     = {Thompson Sampling Guided Stochastic Searching on the Line for Deceptive
               Environments with Applications to Root-Finding Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {52:1--52:24},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-263.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GlimsdalG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GrigoryevaO19,
  author    = {Lyudmila Grigoryeva and
               Juan{-}Pablo Ortega},
  title     = {Differentiable reservoir computing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {179:1--179:62},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-150.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GrigoryevaO19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GrunewalderK19,
  author    = {Steffen Gr{\"{u}}new{\"{a}}lder and
               Azadeh Khaleghi},
  title     = {Approximations of the Restless Bandit Problem},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {14:1--14:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-547.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GrunewalderK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuX19,
  author    = {Yuqi Gu and
               Gongjun Xu},
  title     = {Learning Attribute Patterns in High-Dimensional Structured Latent
               Attribute Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {115:1--115:58},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-197.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuX19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HarrisLPST19,
  author    = {David G. Harris and
               Shi Li and
               Thomas W. Pensyl and
               Aravind Srinivasan and
               Khoa Trinh},
  title     = {Approximation Algorithms for Stochastic Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {153:1--153:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-716.html},
  timestamp = {Thu, 29 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HarrisLPST19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HerlandsNNW19,
  author    = {William Herlands and
               Daniel B. Neill and
               Hannes Nickisch and
               Andrew Gordon Wilson},
  title     = {Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual
               Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {99:1--99:51},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-352.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HerlandsNNW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HillOBM19,
  author    = {Steven M. Hill and
               Chris J. Oates and
               Duncan A. J. Blythe and
               Sach Mukherjee},
  title     = {Causal Learning via Manifold Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {127:1--127:32},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-383.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HillOBM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoferKN19,
  author    = {Christoph D. Hofer and
               Roland Kwitt and
               Marc Niethammer},
  title     = {Learning Representations of Persistence Barcodes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {126:1--126:45},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-358.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoferKN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HongZ0YC0019,
  author    = {Bin Hong and
               Weizhong Zhang and
               Wei Liu and
               Jieping Ye and
               Deng Cai and
               Xiaofei He and
               Jie Wang},
  title     = {Scaling Up Sparse Support Vector Machines by Simultaneous Feature
               and Sample Reduction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {121:1--121:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-723.html},
  timestamp = {Wed, 13 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HongZ0YC0019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Huang19,
  author    = {Zengfeng Huang},
  title     = {Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {56:1--56:23},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-875.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Huang19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuttenrauchSN19,
  author    = {Maximilian H{\"{u}}ttenrauch and
               Adrian Sosic and
               Gerhard Neumann},
  title     = {Deep Reinforcement Learning for Swarm Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {54:1--54:31},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-476.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HuttenrauchSN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JavanmardN19,
  author    = {Adel Javanmard and
               Hamid Nazerzadeh},
  title     = {Dynamic Pricing in High-dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {9:1--9:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-357.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JavanmardN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KamperSP19,
  author    = {Francois Kamper and
               Sarel Steel and
               Johan A. du Preez},
  title     = {On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary
               Size},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {165:1--165:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-040.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KamperSP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KarakusSDY19,
  author    = {Can Karakus and
               Yifan Sun and
               Suhas N. Diggavi and
               Wotao Yin},
  title     = {Redundancy Techniques for Straggler Mitigation in Distributed Optimization
               and Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {72:1--72:47},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-148.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KarakusSDY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Katz-SamuelsBS19,
  author    = {Julian Katz{-}Samuels and
               Gilles Blanchard and
               Clayton Scott},
  title     = {Decontamination of Mutual Contamination Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {41:1--41:57},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-576.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Katz-SamuelsBS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KaulJF19,
  author    = {Abhishek Kaul and
               Venkata K. Jandhyala and
               Stergios B. Fotopoulos},
  title     = {An Efficient Two Step Algorithm for High Dimensional Change Point
               Regression Models Without Grid Search},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {111:1--111:40},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-460.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KaulJF19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KeysZL19,
  author    = {Kevin L. Keys and
               Hua Zhou and
               Kenneth Lange},
  title     = {Proximal Distance Algorithms: Theory and Practice},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {66:1--66:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-687.html},
  timestamp = {Fri, 13 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KeysZL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhamaruW19,
  author    = {Koulik Khamaru and
               Martin J. Wainwright},
  title     = {Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization
               Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {154:1--154:52},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-762.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KhamaruW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhetanO19,
  author    = {Ashish Khetan and
               Sewoong Oh},
  title     = {Spectrum Estimation from a Few Entries},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {21:1--21:55},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-027.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KhetanO19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KiralyO19,
  author    = {Franz J. Kir{\'{a}}ly and
               Harald Oberhauser},
  title     = {Kernels for Sequentially Ordered Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {31:1--31:45},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-314.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KiralyO19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KoppelWSR19,
  author    = {Alec Koppel and
               Garrett Warnell and
               Ethan Stump and
               Alejandro Ribeiro},
  title     = {Parsimonious Online Learning with Kernels via Sparse Projections in
               Function Space},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {3:1--3:44},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-585.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KoppelWSR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KossaifiPAP19,
  author    = {Jean Kossaifi and
               Yannis Panagakis and
               Anima Anandkumar and
               Maja Pantic},
  title     = {TensorLy: Tensor Learning in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {26:1--26:6},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-277.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KossaifiPAP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KraljRL19,
  author    = {Jan Kralj and
               Marko Robnik{-}Sikonja and
               Nada Lavrac},
  title     = {NetSDM: Semantic Data Mining with Network Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {32:1--32:50},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-066.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KraljRL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KrishnamurthyAH19,
  author    = {Akshay Krishnamurthy and
               Alekh Agarwal and
               Tzu{-}Kuo Huang and
               Hal Daum{\'{e}} III and
               John Langford},
  title     = {Active Learning for Cost-Sensitive Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {65:1--65:50},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-681.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KrishnamurthyAH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KvammeBS19,
  author    = {H{\aa}vard Kvamme and
               {\O}rnulf Borgan and
               Ida Scheel},
  title     = {Time-to-Event Prediction with Neural Networks and Cox Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {129:1--129:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-424.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KvammeBS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LetcherBRMFTG19,
  author    = {Alistair Letcher and
               David Balduzzi and
               S{\'{e}}bastien Racani{\`{e}}re and
               James Martens and
               Jakob N. Foerster and
               Karl Tuyls and
               Thore Graepel},
  title     = {Differentiable Game Mechanics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {84:1--84:40},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-008.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LetcherBRMFTG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LethamB19,
  author    = {Benjamin Letham and
               Eytan Bakshy},
  title     = {Bayesian Optimization for Policy Search via Online-Offline Experimentation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {145:1--145:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-225.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LethamB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiTE19,
  author    = {Qianxiao Li and
               Cheng Tai and
               Weinan E},
  title     = {Stochastic Modified Equations and Dynamics of Stochastic Gradient
               Algorithms {I:} Mathematical Foundations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {40:1--40:47},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-526.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiTE19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiYZZ19,
  author    = {Ruilin Li and
               Xiaojing Ye and
               Haomin Zhou and
               Hongyuan Zha},
  title     = {Learning to Match via Inverse Optimal Transport},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {80:1--80:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-700.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiYZZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiaoM19,
  author    = {Wenjing Liao and
               Mauro Maggioni},
  title     = {Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional
               Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {98:1--98:63},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-252.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiaoM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinLZ19,
  author    = {Shao{-}Bo Lin and
               Yunwen Lei and
               Ding{-}Xuan Zhou},
  title     = {Boosted Kernel Ridge Regression: Optimal Learning Rates and Early
               Stopping},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {46:1--46:36},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-063.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinLZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LivezeyBS19,
  author    = {Jesse A. Livezey and
               Alejandro F. Bujan and
               Friedrich T. Sommer},
  title     = {Learning Overcomplete, Low Coherence Dictionaries with Linear Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {174:1--174:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-703.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LivezeyBS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LopesWM19,
  author    = {Miles E. Lopes and
               Shusen Wang and
               Michael W. Mahoney},
  title     = {A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {39:1--39:40},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-451.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LopesWM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Loukas19,
  author    = {Andreas Loukas},
  title     = {Graph Reduction with Spectral and Cut Guarantees},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {116:1--116:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-680.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Loukas19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuoCZLZ19,
  author    = {Luo Luo and
               Cheng Chen and
               Zhihua Zhang and
               Wu{-}Jun Li and
               Tong Zhang},
  title     = {Robust Frequent Directions with Application in Online Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {45:1--45:41},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-773.html},
  timestamp = {Fri, 04 Dec 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuoCZLZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuoSTX19,
  author    = {Ziyan Luo and
               Defeng Sun and
               Kim{-}Chuan Toh and
               Naihua Xiu},
  title     = {Solving the {OSCAR} and {SLOPE} Models Using a Semismooth Newton-Based
               Augmented Lagrangian Method},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {106:1--106:25},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-172.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuoSTX19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LyzinskiLP19,
  author    = {Vince Lyzinski and
               Keith Levin and
               Carey E. Priebe},
  title     = {On Consistent Vertex Nomination Schemes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {69:1--69:39},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-048.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LyzinskiLP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaggioniM19,
  author    = {Mauro Maggioni and
               James M. Murphy},
  title     = {Learning by Unsupervised Nonlinear Diffusion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {160:1--160:56},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-873.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaggioniM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaroulasMO19,
  author    = {Vasileios Maroulas and
               Joshua L. Mike and
               Christopher Oballe},
  title     = {Nonparametric Estimation of Probability Density Functions of Random
               Persistence Diagrams},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {151:1--151:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-618.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaroulasMO19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MasoodD19,
  author    = {Muhammad A. Masood and
               Finale Doshi{-}Velez},
  title     = {A Particle-Based Variational Approach to Bayesian Non-negative Matrix
               Factorization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {90:1--90:56},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-153.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MasoodD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaunuZL19,
  author    = {Tyler Maunu and
               Teng Zhang and
               Gilad Lerman},
  title     = {A Well-Tempered Landscape for Non-convex Robust Subspace Recovery},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {37:1--37:59},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-324.html},
  timestamp = {Mon, 23 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaunuZL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MayGLGLBFCHKPS19,
  author    = {Avner May and
               Alireza Bagheri Garakani and
               Zhiyun Lu and
               Dong Guo and
               Kuan Liu and
               Aur{\'{e}}lien Bellet and
               Linxi Fan and
               Michael Collins and
               Daniel Hsu and
               Brian Kingsbury and
               Michael Picheny and
               Fei Sha},
  title     = {Kernel Approximation Methods for Speech Recognition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {59:1--59:36},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-026.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MayGLGLBFCHKPS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MeshiLWS19,
  author    = {Ofer Meshi and
               Ben London and
               Adrian Weller and
               David A. Sontag},
  title     = {Train and Test Tightness of {LP} Relaxations in Structured Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {13:1--13:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-535.html},
  timestamp = {Fri, 15 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MeshiLWS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MourtadaG19,
  author    = {Jaouad Mourtada and
               St{\'{e}}phane Ga{\"{\i}}ffas},
  title     = {On the optimality of the Hedge algorithm in the stochastic regime},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {83:1--83:28},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-869.html},
  timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MourtadaG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MpoudeuC19,
  author    = {Merlin Mpoudeu and
               Bertrand S. Clarke},
  title     = {Model Selection via the {VC} Dimension},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {88:1--88:26},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-669.html},
  timestamp = {Tue, 21 Apr 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MpoudeuC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NaYWK19,
  author    = {Sen Na and
               Zhuoran Yang and
               Zhaoran Wang and
               Mladen Kolar},
  title     = {High-dimensional Varying Index Coefficient Models via Stein's Identity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {152:1--152:44},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-705.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NaYWK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NguyenNRSTD19,
  author    = {Lam M. Nguyen and
               Phuong Ha Nguyen and
               Peter Richt{\'{a}}rik and
               Katya Scheinberg and
               Martin Tak{\'{a}}c and
               Marten van Dijk},
  title     = {New Convergence Aspects of Stochastic Gradient Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {176:1--176:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-759.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/NguyenNRSTD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NguyenWH19,
  author    = {Thanh V. Nguyen and
               Raymond K. W. Wong and
               Chinmay Hegde},
  title     = {Provably Accurate Double-Sparse Coding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {141:1--141:43},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-728.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NguyenWH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ObuchiK19,
  author    = {Tomoyuki Obuchi and
               Yoshiyuki Kabashima},
  title     = {Semi-Analytic Resampling in Lasso},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {70:1--70:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-109.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ObuchiK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OsbandRRW19,
  author    = {Ian Osband and
               Benjamin Van Roy and
               Daniel J. Russo and
               Zheng Wen},
  title     = {Deep Exploration via Randomized Value Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {124:1--124:62},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-339.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OsbandRRW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PageG19,
  author    = {Stephen Page and
               Steffen Gr{\"{u}}new{\"{a}}lder},
  title     = {Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their
               Interpolation Spaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {120:1--120:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-672.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PageG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkP19,
  author    = {Gunwoong Park and
               Sion Park},
  title     = {High-Dimensional Poisson Structural Equation Model Learning via {\textdollar}{\textbackslash}ell{\_}1{\textdollar}-Regularized
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {95:1--95:41},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-819.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParkP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PavlichinJW19,
  author    = {Dmitri S. Pavlichin and
               Jiantao Jiao and
               Tsachy Weissman},
  title     = {Approximate Profile Maximum Likelihood},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {122:1--122:55},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-075.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PavlichinJW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PerezMN19,
  author    = {Mar{\'{\i}}a Luz G{\'{a}}miz and
               Mar{\'{\i}}a Dolores {Mart{\'{\i}}nez Miranda} and
               Jens Perch Nielsen},
  title     = {Multiplicative local linear hazard estimation and best one-sided cross-validation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {18:1--18:29},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-663.html},
  timestamp = {Wed, 21 Oct 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PerezMN19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PfisterWBS19,
  author    = {Niklas Pfister and
               Sebastian Weichwald and
               Peter B{\"{u}}hlmann and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Robustifying Independent Component Analysis by Adjusting for Group-Wise
               Stationary Noise},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {147:1--147:50},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-399.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PfisterWBS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PirinenA19,
  author    = {Aleksis Pirinen and
               Brendan Ames},
  title     = {Exact Clustering of Weighted Graphs via Semidefinite Programming},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {30:1--30:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-128.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/PirinenA19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PirsS19,
  author    = {Gregor Pirs and
               Erik Strumbelj},
  title     = {Bayesian Combination of Probabilistic Classifiers using Multivariate
               Normal Mixtures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {51:1--51:18},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-241.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PirsS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ProbstBB19,
  author    = {Philipp Probst and
               Anne{-}Laure Boulesteix and
               Bernd Bischl},
  title     = {Tunability: Importance of Hyperparameters of Machine Learning Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {53:1--53:32},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-444.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ProbstBB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RaiAMA19,
  author    = {Akshara Rai and
               Rika Antonova and
               Franziska Meier and
               Christopher G. Atkeson},
  title     = {Using Simulation to Improve Sample-Efficiency of Bayesian Optimization
               for Bipedal Robots},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {49:1--49:24},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-196.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RaiAMA19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RazaeeAL19,
  author    = {Zahra S. Razaee and
               Arash A. Amini and
               Jingyi Jessica Li},
  title     = {Matched Bipartite Block Model with Covariates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {34:1--34:44},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-153.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RazaeeAL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RebeschiniT19,
  author    = {Patrick Rebeschini and
               Sekhar Tatikonda},
  title     = {A New Approach to Laplacian Solvers and Flow Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {36:1--36:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-286.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RebeschiniT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RodrigoAG19,
  author    = {Enrique Gonz{\'{a}}lez Rodrigo and
               Juan A. Aledo and
               Jos{\'{e}} A. G{\'{a}}mez},
  title     = {spark-crowd: {A} Spark Package for Learning from Crowdsourced Big
               Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {19:1--19:5},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-743.html},
  timestamp = {Fri, 22 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/RodrigoAG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Ruggieri19,
  author    = {Salvatore Ruggieri},
  title     = {Complete Search for Feature Selection in Decision Trees},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {104:1--104:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-035.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Ruggieri19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Ryabko19,
  author    = {Daniil Ryabko},
  title     = {On Asymptotic and Finite-Time Optimality of Bayesian Predictors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {149:1--149:24},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-512.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Ryabko19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SaberianV19,
  author    = {Mohammad J. Saberian and
               Nuno Vasconcelos},
  title     = {Multiclass Boosting: Margins, Codewords, Losses, and Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {137:1--137:68},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-137.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SaberianV19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Sanchez-Monedero19,
  author    = {Javier S{\'{a}}nchez{-}Monedero and
               Pedro Antonio Guti{\'{e}}rrez and
               Mar{\'{\i}}a P{\'{e}}rez{-}Ortiz},
  title     = {{ORCA:} {A} Matlab/Octave Toolbox for Ordinal Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {125:1--125:5},
  year      = {2019},
  url       = {https://www.jmlr.org/papers/v20/18-349.html},
  timestamp = {Mon, 26 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Sanchez-Monedero19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SaremiH19,
  author    = {Saeed Saremi and
               Aapo Hyv{\"{a}}rinen},
  title     = {Neural Empirical Bayes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {181:1--181:23},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-216.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SaremiH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ScamanBBLM19,
  author    = {Kevin Scaman and
               Francis R. Bach and
               S{\'{e}}bastien Bubeck and
               Yin Tat Lee and
               Laurent Massouli{\'{e}}},
  title     = {Optimal Convergence Rates for Convex Distributed Optimization in Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {159:1--159:31},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-543.html},
  timestamp = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ScamanBBLM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shafieezadeh-Abadeh19,
  author    = {Soroosh Shafieezadeh{-}Abadeh and
               Daniel Kuhn and
               Peyman Mohajerin Esfahani},
  title     = {Regularization via Mass Transportation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {103:1--103:68},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-633.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Shafieezadeh-Abadeh19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahBW19,
  author    = {Nihar B. Shah and
               Sivaraman Balakrishnan and
               Martin J. Wainwright},
  title     = {Low Permutation-rank Matrices: Structural Properties and Noisy Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {101:1--101:43},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-545.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahBW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShallueLASFD19,
  author    = {Christopher J. Shallue and
               Jaehoon Lee and
               Joseph M. Antognini and
               Jascha Sohl{-}Dickstein and
               Roy Frostig and
               George E. Dahl},
  title     = {Measuring the Effects of Data Parallelism on Neural Network Training},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {112:1--112:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-789.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShallueLASFD19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShangHC19,
  author    = {Zuofeng Shang and
               Botao Hao and
               Guang Cheng},
  title     = {Nonparametric Bayesian Aggregation for Massive Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {140:1--140:81},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-641.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShangHC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShenCG19,
  author    = {Yanning Shen and
               Tianyi Chen and
               Georgios B. Giannakis},
  title     = {Random Feature-based Online Multi-kernel Learning in Environments
               with Unknown Dynamics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {22:1--22:36},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-030.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShenCG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShiHFS19,
  author    = {Lei Shi and
               Xiaolin Huang and
               Yunlong Feng and
               Johan A. K. Suykens},
  title     = {Sparse Kernel Regression with Coefficient-based {\textdollar}{\textbackslash}ell{\_}q-{\textdollar}regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {161:1--161:44},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/13-124.html},
  timestamp = {Thu, 03 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShiHFS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShiLS19,
  author    = {Chengchun Shi and
               Wenbin Lu and
               Rui Song},
  title     = {Determining the Number of Latent Factors in Statistical Multi-Relational
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {23:1--23:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-037.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShiLS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SohT19,
  author    = {De Wen Soh and
               Sekhar Tatikonda},
  title     = {Learning Unfaithful {\textdollar}K{\textdollar}-separable Gaussian
               Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {109:1--109:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-329.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SohT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SommerfeldSZM19,
  author    = {Max Sommerfeld and
               J{\"{o}}rn Schrieber and
               Yoav Zemel and
               Axel Munk},
  title     = {Optimal Transport: Fast Probabilistic Approximation with Exact Solvers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {105:1--105:23},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-079.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SommerfeldSZM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SondhiS19,
  author    = {Arjun Sondhi and
               Ali Shojaie},
  title     = {The Reduced PC-Algorithm: Improved Causal Structure Learning in Large
               Random Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {164:1--164:31},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-601.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SondhiS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SonodaM19,
  author    = {Sho Sonoda and
               Noboru Murata},
  title     = {Transport Analysis of Infinitely Deep Neural Network},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {2:1--2:52},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-243.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SonodaM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SutterSEL19,
  author    = {Tobias Sutter and
               David Sutter and
               Peyman Mohajerin Esfahani and
               John Lygeros},
  title     = {Generalized Maximum Entropy Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {138:1--138:29},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-486.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SutterSEL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SzaboZ19,
  author    = {Botond Szab{\'{o}} and
               Harry van Zanten},
  title     = {An asymptotic analysis of distributed nonparametric methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {87:1--87:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-666.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SzaboZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SzymanskiK19,
  author    = {Piotr Szymanski and
               Tomasz Kajdanowicz},
  title     = {scikit-multilearn: {A} Python library for Multi-Label Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {6:1--6:22},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-100.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SzymanskiK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TanL0019,
  author    = {Kean Ming Tan and
               Junwei Lu and
               Tong Zhang and
               Han Liu},
  title     = {Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing
               Spline Regression and Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {119:1--119:38},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-525.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TanL0019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TeixeiraAL19,
  author    = {Leonardo Vilela Teixeira and
               Renato M. Assun{\c{c}}{\~{a}}o and
               Rosangela Helena Loschi},
  title     = {Bayesian Space-Time Partitioning by Sampling and Pruning Spanning
               Trees},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {85:1--85:35},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-615.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TeixeiraAL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TremblayBA19,
  author    = {Nicolas Tremblay and
               Simon Barthelm{\'{e}} and
               Pierre{-}Olivier Amblard},
  title     = {Determinantal Point Processes for Coresets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {168:1--168:70},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-167.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TremblayBA19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TrillosSY19,
  author    = {Nicol{\'{a}}s Garc{\'{\i}}a Trillos and
               Daniel Sanz{-}Alonso and
               Ruiyi Yang},
  title     = {Local Regularization of Noisy Point Clouds: Improved Global Geometric
               Estimates and Data Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {136:1--136:37},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-261.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TrillosSY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Unser19,
  author    = {Michael Unser},
  title     = {A Representer Theorem for Deep Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {110:1--110:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-418.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Unser19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/UstunR19,
  author    = {Berk Ustun and
               Cynthia Rudin},
  title     = {Learning Optimized Risk Scores},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {150:1--150:75},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-615.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/UstunR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VasiloudisMB19,
  author    = {Theodore Vasiloudis and
               Gianmarco De Francisci Morales and
               Henrik Bostr{\"{o}}m},
  title     = {Quantifying Uncertainty in Online Regression Forests},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {155:1--155:35},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-006.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VasiloudisMB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VazIS19,
  author    = {Afonso Fernandes Vaz and
               Rafael Izbicki and
               Rafael Bassi Stern},
  title     = {Quantification Under Prior Probability Shift: the Ratio Estimator
               and its Extensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {79:1--79:33},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-456.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VazIS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VenturiBB19,
  author    = {Luca Venturi and
               Afonso S. Bandeira and
               Joan Bruna},
  title     = {Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {133:1--133:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-674.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VenturiBB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Wang19,
  author    = {HaiYing Wang},
  title     = {More Efficient Estimation for Logistic Regression with Optimal Subsamples},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {132:1--132:59},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-596.html},
  timestamp = {Wed, 04 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Wang19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangGM19,
  author    = {Shusen Wang and
               Alex Gittens and
               Michael W. Mahoney},
  title     = {Scalable Kernel K-Means Clustering with Nystr{\textbackslash}"om Approximation:
               Relative-Error Bounds},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {12:1--12:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-517.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangGM19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLL19,
  author    = {Po{-}Wei Wang and
               Ching{-}Pei Lee and
               Chih{-}Jen Lin},
  title     = {The Common-directions Method for Regularized Empirical Risk Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {58:1--58:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/16-309.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLR19,
  author    = {Daren Wang and
               Xinyang Lu and
               Alessandro Rinaldo},
  title     = {{DBSCAN:} Optimal Rates For Density-Based Cluster Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {170:1--170:50},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-470.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangYCL19,
  author    = {Xiaozhou Wang and
               Zhuoyi Yang and
               Xi Chen and
               Weidong Liu},
  title     = {Distributed Inference for Linear Support Vector Machine},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {113:1--113:41},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-801.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangYCL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangYLT19,
  author    = {Wenwu Wang and
               Ping Yu and
               Lu Lin and
               Tiejun Tong},
  title     = {Robust Estimation of Derivatives Using Locally Weighted Least Absolute
               Deviation Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {60:1--60:49},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-340.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangYLT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangZ19,
  author    = {Jialei Wang and
               Tong Zhang},
  title     = {Utilizing Second Order Information in Minibatch Stochastic Variance
               Reduced Proximal Iterations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {42:1--42:56},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-594.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WeissbrodKGR19,
  author    = {Omer Weissbrod and
               Shachar Kaufman and
               David Golan and
               Saharon Rosset},
  title     = {Maximum Likelihood for Gaussian Process Classification and Generalized
               Linear Mixed Models under Case-Control Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {108:1--108:30},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-298.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WeissbrodKGR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WuKP19,
  author    = {Anqi Wu and
               Oluwasanmi Koyejo and
               Jonathan W. Pillow},
  title     = {Dependent relevance determination for smooth and structured sparse
               regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {89:1--89:43},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-757.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WuKP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/XiaZ19,
  author    = {Dong Xia and
               Fan Zhou},
  title     = {The Sup-norm Perturbation of {HOSVD} and Low Rank Tensor Denoising},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {61:1--61:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-397.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/XiaZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/XiaoYLC19,
  author    = {Lin Xiao and
               Adams Wei Yu and
               Qihang Lin and
               Weizhu Chen},
  title     = {{DSCOVR:} Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous
               Distributed Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {43:1--43:58},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/17-608.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/XiaoYLC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuDS19,
  author    = {Shiqing Yu and
               Mathias Drton and
               Ali Shojaie},
  title     = {Generalized Score Matching for Non-Negative Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {76:1--76:70},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-278.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuDS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZafarVGG19,
  author    = {Muhammad Bilal Zafar and
               Isabel Valera and
               Manuel Gomez{-}Rodriguez and
               Krishna P. Gummadi},
  title     = {Fairness Constraints: {A} Flexible Approach for Fair Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {75:1--75:42},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-262.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZafarVGG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangSL19,
  author    = {Richard Y. Zhang and
               Somayeh Sojoudi and
               Javad Lavaei},
  title     = {Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local
               Minima in Nonconvex Matrix Recovery},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {114:1--114:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-020.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangSL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangW19,
  author    = {Michael Minyi Zhang and
               Sinead A. Williamson},
  title     = {Embarrassingly Parallel Inference for Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {169:1--169:26},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-374.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangX19,
  author    = {Zhenyue Zhang and
               Yuqing Xia},
  title     = {Minimal Sample Subspace Learning: Theory and Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {143:1--143:57},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-084.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangX19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaoLNSS19,
  author    = {Ying{-}Qi Zhao and
               Eric B. Laber and
               Yang Ning and
               Sumona Saha and
               Bruce E. Sands},
  title     = {Efficient augmentation and relaxation learning for individualized
               treatment rules using observational data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {48:1--48:23},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-191.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaoLNSS19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaoNL19,
  author    = {Yue Zhao and
               Zain Nasrullah and
               Zheng Li},
  title     = {PyOD: {A} Python Toolbox for Scalable Outlier Detection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {96:1--96:7},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-011.html},
  timestamp = {Fri, 22 May 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaoNL19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhengB0L19,
  author    = {Zemin Zheng and
               Mohammad Taha Bahadori and
               Yan Liu and
               Jinchi Lv},
  title     = {Scalable Interpretable Multi-Response Regression via {SEED}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {107:1--107:34},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-200.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhengB0L19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Zhou0G19,
  author    = {Dongruo Zhou and
               Pan Xu and
               Quanquan Gu},
  title     = {Stochastic Variance-Reduced Cubic Regularization Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {134:1--134:47},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/19-055.html},
  timestamp = {Thu, 18 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Zhou0G19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouA19,
  author    = {Zhixin Zhou and
               Arash A. Amini},
  title     = {Analysis of spectral clustering algorithms for community detection:
               the general bipartite setting},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {47:1--47:47},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-170.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhouA19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouTPT19,
  author    = {Joey Tianyi Zhou and
               Ivor W. Tsang and
               Sinno Jialin Pan and
               Mingkui Tan},
  title     = {Multi-class Heterogeneous Domain Adaptation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {57:1--57:31},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/13-580.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhouTPT19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AcharyaFJOS18,
  author    = {Jayadev Acharya and
               Moein Falahatgar and
               Ashkan Jafarpour and
               Alon Orlitsky and
               Ananda Theertha Suresh},
  title     = {Maximum Selection and Sorting with Adversarial Comparators},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {59:1--59:31},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-165.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AcharyaFJOS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AchilleS18,
  author    = {Alessandro Achille and
               Stefano Soatto},
  title     = {Emergence of Invariance and Disentanglement in Deep Representations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {50:1--50:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-646.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AchilleS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Ah-Pine18,
  author    = {Julien Ah{-}Pine},
  title     = {An Efficient and Effective Generic Agglomerative Hierarchical Clustering
               Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {42:1--42:43},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-117.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Ah-Pine18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AkrourAAPN18,
  author    = {Riad Akrour and
               Abbas Abdolmaleki and
               Hany Abdulsamad and
               Jan Peters and
               Gerhard Neumann},
  title     = {Model-Free Trajectory-based Policy Optimization with Monotonic Improvement},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {14:1--14:25},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-329.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AkrourAAPN18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlaaS18,
  author    = {Ahmed M. Alaa and
               Mihaela van der Schaar},
  title     = {A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal
               Data: Learning and Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {4:1--4:62},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-656.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlaaS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AmjadSS18,
  author    = {Muhammad J. Amjad and
               Devavrat Shah and
               Dennis Shen},
  title     = {Robust Synthetic Control},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {22:1--22:51},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-777.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AmjadSS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArunachalamW18,
  author    = {Srinivasan Arunachalam and
               Ronald de Wolf},
  title     = {Optimal Quantum Sample Complexity of Learning Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {71:1--71:36},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-195.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArunachalamW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Au18,
  author    = {Timothy C. Au},
  title     = {Random Forests, Decision Trees, and Categorical Predictors: The "Absent
               Levels" Problem},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {45:1--45:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-474.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Au18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Biecek18,
  author    = {Przemyslaw Biecek},
  title     = {{DALEX:} Explainers for Complex Predictive Models in {R}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {84:1--84:5},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-416.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Biecek18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BruinKTB18,
  author    = {Tim de Bruin and
               Jens Kober and
               Karl Tuyls and
               Robert Babuska},
  title     = {Experience Selection in Deep Reinforcement Learning for Control},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {9:1--9:56},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-131.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BruinKTB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurnsW18,
  author    = {David M. Burns and
               Cari M. Whyne},
  title     = {Seglearn: {A} Python Package for Learning Sequences and Time Series},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {83:1--83:7},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-160.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BurnsW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurrGK18,
  author    = {Michael A. Burr and
               Shuhong Gao and
               Fiona Knoll},
  title     = {Optimal Bounds for Johnson-Lindenstrauss Transformations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {73:1--73:22},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-264.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BurrGK18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BybeeA18,
  author    = {Leland Bybee and
               Yves Atchad{\'{e}}},
  title     = {Change-Point Computation for Large Graphical Models: {A} Scalable
               Algorithm for Gaussian Graphical Models with Change-Points},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {11:1--11:38},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-218.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BybeeA18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CarriereMO18,
  author    = {Mathieu Carri{\`{e}}re and
               Bertrand Michel and
               Steve Oudot},
  title     = {Statistical Analysis and Parameter Selection for Mapper},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {12:1--12:39},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-291.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CarriereMO18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CelisseM18,
  author    = {Alain Celisse and
               Tristan Mary{-}Huard},
  title     = {Theoretical Analysis of Cross-Validation for Estimating the Risk of
               the {\textdollar}k{\textdollar}-Nearest Neighbor Classifier},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {58:1--58:54},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/15-498.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CelisseM18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenDWY18,
  author    = {Yuansi Chen and
               Raaz Dwivedi and
               Martin J. Wainwright and
               Bin Yu},
  title     = {Fast {MCMC} Sampling Algorithms on Polytopes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {55:1--55:86},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-158.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenDWY18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenP18,
  author    = {Ruidi Chen and
               Ioannis Ch. Paschalidis},
  title     = {A Robust Learning Approach for Regression Models Based on Distributionally
               Robust Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {13:1--13:48},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-295.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenP18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenRZZ18,
  author    = {Chen Chen and
               Min Ren and
               Min Zhang and
               Dabao Zhang},
  title     = {A Two-Stage Penalized Least Squares Method for Constructing Large
               Systems of Structural Equations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {2:1--2:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-225.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenRZZ18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChiangDH18,
  author    = {Kai{-}Yang Chiang and
               Inderjit S. Dhillon and
               Cho{-}Jui Hsieh},
  title     = {Using Side Information to Reliably Learn Low-Rank Matrices from Missing
               and Corrupted Observations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {76:1--76:35},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-112.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChiangDH18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CsibaR18,
  author    = {Dominik Csiba and
               Peter Richt{\'{a}}rik},
  title     = {Importance Sampling for Minibatches},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {27:1--27:21},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-241.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CsibaR18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DaiWAHW18,
  author    = {Bin Dai and
               Yu Wang and
               John Aston and
               Gang Hua and
               David P. Wipf},
  title     = {Connections with Robust {PCA} and the Role of Emergent Sparsity in
               Variational Autoencoder Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {41:1--41:42},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-704.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DaiWAHW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DasK18,
  author    = {Abhimanyu Das and
               David Kempe},
  title     = {Approximate Submodularity and its Applications: Subset Selection,
               Sparse Approximation and Dictionary Selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {3:1--3:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-534.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DasK18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DerezinskiW18,
  author    = {Michal Derezinski and
               Manfred K. Warmuth},
  title     = {Reverse Iterative Volume Sampling for Linear Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {23:1--23:39},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-781.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DerezinskiW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DesseinPR18,
  author    = {Arnaud Dessein and
               Nicolas Papadakis and
               Jean{-}Luc Rouas},
  title     = {Regularized Optimal Transport and the Rot Mover's Distance},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {15:1--15:53},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-361.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DesseinPR18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DonnerO18,
  author    = {Christian Donner and
               Manfred Opper},
  title     = {Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {67:1--67:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-759.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DonnerO18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuanJD18,
  author    = {Leo L. Duan and
               James E. Johndrow and
               David B. Dunson},
  title     = {Scaling up Data Augmentation {MCMC} via Calibration},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {64:1--64:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-573.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuanJD18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DunlopGST18,
  author    = {Matthew M. Dunlop and
               Mark A. Girolami and
               Andrew M. Stuart and
               Aretha L. Teckentrup},
  title     = {How Deep Are Deep Gaussian Processes?},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {54:1--54:46},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-015.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DunlopGST18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DurandMP18,
  author    = {Audrey Durand and
               Odalric{-}Ambrym Maillard and
               Joelle Pineau},
  title     = {Streaming kernel regression with provably adaptive mean, variance,
               and regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {17:1--17:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-404.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DurandMP18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FangXY18,
  author    = {Yixin Fang and
               Jinfeng Xu and
               Lei Yang},
  title     = {Online Bootstrap Confidence Intervals for the Stochastic Gradient
               Descent Estimator},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {78:1--78:21},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-370.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FangXY18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Gao18,
  author    = {Chao Gao},
  title     = {Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {33:1--33:50},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-624.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Gao18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Geer18,
  author    = {Sara A. van de Geer},
  title     = {On Tight Bounds for the Lasso},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {46:1--46:48},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-025.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Geer18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GiordanoBJ18,
  author    = {Ryan Giordano and
               Tamara Broderick and
               Michael I. Jordan},
  title     = {Covariances, Robustness, and Variational Bayes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {51:1--51:49},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-670.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GiordanoBJ18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GrigoryevaO18,
  author    = {Lyudmila Grigoryeva and
               Juan{-}Pablo Ortega},
  title     = {Universal discrete-time reservoir computers with stochastic inputs
               and linear readouts using non-homogeneous state-affine systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {24:1--24:40},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-020.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GrigoryevaO18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoWOHZWZ18,
  author    = {Weili Guo and
               Haikun Wei and
               Yew{-}Soon Ong and
               Jaime Rubio Hervas and
               Junsheng Zhao and
               Hai Wang and
               Kanjian Zhang},
  title     = {Numerical Analysis near Singularities in {RBF} Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {1:1--1:39},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-210.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoWOHZWZ18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HangSFS18,
  author    = {Hanyuan Hang and
               Ingo Steinwart and
               Yunlong Feng and
               Johan A. K. Suykens},
  title     = {Kernel Density Estimation for Dynamical Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {35:1--35:49},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-349.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HangSFS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HardtMR18,
  author    = {Moritz Hardt and
               Tengyu Ma and
               Benjamin Recht},
  title     = {Gradient Descent Learns Linear Dynamical Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {29:1--29:44},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-465.html},
  timestamp = {Sun, 08 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HardtMR18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuangJLL18,
  author    = {Jian Huang and
               Yuling Jiao and
               Yanyan Liu and
               Xiliang Lu},
  title     = {A Constructive Approach to {\textdollar}L{\_}0{\textdollar} Penalized
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {10:1--10:37},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-194.html},
  timestamp = {Wed, 13 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HuangJLL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JiangWL18,
  author    = {Binyan Jiang and
               Xiangyu Wang and
               Chenlei Leng},
  title     = {A Direct Approach for Sparse Quadratic Discriminant Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {31:1--31:37},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-285.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JiangWL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JimenezS18,
  author    = {{\'{A}}lvaro Barbero Jim{\'{e}}nez and
               Suvrit Sra},
  title     = {Modular Proximal Optimization for Multidimensional Total-Variation
               Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {56:1--56:82},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/13-538.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JimenezS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KailkhuraTRVB18,
  author    = {Bhavya Kailkhura and
               Jayaraman J. Thiagarajan and
               Charvi Rastogi and
               Pramod K. Varshney and
               Peer{-}Timo Bremer},
  title     = {A Spectral Approach for the Design of Experiments: Design, Analysis
               and Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {34:1--34:46},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-735.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KailkhuraTRVB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KarouiP18,
  author    = {Noureddine El Karoui and
               Elizabeth Purdom},
  title     = {Can We Trust the Bootstrap in High-dimensions? The Case of Linear
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {5:1--5:66},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-006.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KarouiP18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhetanO18,
  author    = {Ashish Khetan and
               Sewoong Oh},
  title     = {Generalized Rank-Breaking: Computational and Statistical Tradeoffs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {28:1--28:42},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-412.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KhetanO18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KummerleS18,
  author    = {Christian K{\"{u}}mmerle and
               Juliane Sigl},
  title     = {Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix
               Recovery},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {47:1--47:49},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-244.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KummerleS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LaiYFW18,
  author    = {Zhao{-}Rong Lai and
               Pei{-}Yi Yang and
               Liangda Fang and
               Xiaotian Wu},
  title     = {Short-term Sparse Portfolio Optimization Based on Alternating Direction
               Method of Multipliers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {63:1--63:28},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-558.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LaiYFW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LamprierGG18,
  author    = {Sylvain Lamprier and
               Thibault Gisselbrecht and
               Patrick Gallinari},
  title     = {Profile-Based Bandit with Unknown Profiles},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {53:1--53:40},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-693.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LamprierGG18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lattimore18,
  author    = {Tor Lattimore},
  title     = {Refining the Confidence Level for Optimistic Bandit Strategies},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {20:1--20:32},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-513.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Lattimore18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeblondPL18,
  author    = {R{\'{e}}mi Leblond and
               Fabian Pedregosa and
               Simon Lacoste{-}Julien},
  title     = {Improved Asynchronous Parallel Optimization Analysis for Stochastic
               Incremental Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {81:1--81:68},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-650.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeblondPL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lehericy18,
  author    = {Luc Leh{\'{e}}ricy},
  title     = {State-by-state Minimax Adaptive Estimation for Nonparametric Hidden
               Markov Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {39:1--39:46},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-345.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Lehericy18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LintusaariVKSJM18,
  author    = {Jarno Lintusaari and
               Henri Vuollekoski and
               Antti Kangasr{\"{a}}{\"{a}}si{\"{o}} and
               Kusti Skyt{\'{e}}n and
               Marko J{\"{a}}rvenp{\"{a}}{\"{a}} and
               Pekka Marttinen and
               Michael U. Gutmann and
               Aki Vehtari and
               Jukka Corander and
               Samuel Kaski},
  title     = {{ELFI:} Engine for Likelihood-Free Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {16:1--16:7},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-374.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LintusaariVKSJM18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuL18,
  author    = {Xu{-}Qing Liu and
               Xin{-}sheng Liu},
  title     = {Markov Blanket and Markov Boundary of Multiple Variables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {43:1--43:50},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/14-033.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MahajanAKSB18,
  author    = {Dhruv Mahajan and
               Nikunj Agrawal and
               S. Sathiya Keerthi and
               Sundararajan Sellamanickam and
               L{\'{e}}on Bottou},
  title     = {An efficient distributed learning algorithm based on effective local
               functional approximations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {74:1--74:37},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/15-020.html},
  timestamp = {Mon, 28 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MahajanAKSB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Mai18,
  author    = {Xiaoyi Mai},
  title     = {A Random Matrix Analysis and Improvement of Semi-Supervised Learning
               for Large Dimensional Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {79:1--79:27},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-421.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Mai18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MiasojedowR18,
  author    = {Blazej Miasojedow and
               Wojciech Rejchel},
  title     = {Sparse Estimation in Ising Model via Penalized Monte Carlo Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {75:1--75:26},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-554.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MiasojedowR18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MontielRBA18,
  author    = {Jacob Montiel and
               Jesse Read and
               Albert Bifet and
               Talel Abdessalem},
  title     = {Scikit-Multiflow: {A} Multi-output Streaming Framework},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {72:1--72:5},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-251.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MontielRBA18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MuckeB18,
  author    = {Nicole M{\"{u}}cke and
               Gilles Blanchard},
  title     = {Parallelizing Spectrally Regularized Kernel Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {30:1--30:29},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-569.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MuckeB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeedellSW18,
  author    = {Deanna Needell and
               Rayan Saab and
               Tina Woolf},
  title     = {Simple Classification Using Binary Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {61:1--61:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-383.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NeedellSW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NegahbanOTX18,
  author    = {Sahand Negahban and
               Sewoong Oh and
               Kiran Koshy Thekumparampil and
               Jiaming Xu},
  title     = {Learning from Comparisons and Choices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {40:1--40:95},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-607.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NegahbanOTX18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ObuchiK18,
  author    = {Tomoyuki Obuchi and
               Yoshiyuki Kabashima},
  title     = {Accelerating Cross-Validation in Multinomial Logistic Regression with
               {\textdollar}{\textbackslash}ell{\_}1{\textdollar}-Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {52:1--52:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-684.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ObuchiK18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OliveiraAD18,
  author    = {Ivo F. D. Oliveira and
               Nir Ailon and
               Ori Davidov},
  title     = {A New and Flexible Approach to the Analysis of Paired Comparison Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {60:1--60:29},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-179.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OliveiraAD18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkA18,
  author    = {Chiwoo Park and
               Daniel W. Apley},
  title     = {Patchwork Kriging for Large-scale Gaussian Process Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {7:1--7:43},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-042.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParkA18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/QiuJN18,
  author    = {Jinwen Qiu and
               S. Rao Jammalamadaka and
               Ning Ning},
  title     = {Multivariate Bayesian Structural Time Series Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {68:1--68:33},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-009.html},
  timestamp = {Mon, 10 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/QiuJN18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Raissi18,
  author    = {Maziar Raissi},
  title     = {Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential
               Equations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {25:1--25:24},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-046.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Raissi18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RavivHO18,
  author    = {Dolev Raviv and
               Tamir Hazan and
               Margarita Osadchy},
  title     = {Hinge-Minimax Learner for the Ensemble of Hyperplanes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {62:1--62:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-402.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RavivHO18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RoheTHB18,
  author    = {Karl Rohe and
               Jun Tao and
               Xintian Han and
               Norbert Binkiewicz},
  title     = {A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {77:1--77:13},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-128.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RoheTHB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Rojas-CarullaST18,
  author    = {Mateo Rojas{-}Carulla and
               Bernhard Sch{\"{o}}lkopf and
               Richard E. Turner and
               Jonas Peters},
  title     = {Invariant Models for Causal Transfer Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {36:1--36:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-432.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Rojas-CarullaST18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RonanAQTSN18,
  author    = {Tom Ronan and
               Shawn Anastasio and
               Zhijie Qi and
               Pedro Henrique S. Vieira Tavares and
               Roman Sloutsky and
               Kristen M. Naegle},
  title     = {OpenEnsembles: {A} Python Resource for Ensemble Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {26:1--26:6},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-100.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RonanAQTSN18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahTMGL18,
  author    = {Nihar B. Shah and
               Behzad Tabibian and
               Krikamol Muandet and
               Isabelle Guyon and
               Ulrike von Luxburg},
  title     = {Design and Analysis of the {NIPS} 2016 Review Process},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {49:1--49:34},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-511.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahTMGL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shamir18,
  author    = {Ohad Shamir},
  title     = {Distribution-Specific Hardness of Learning Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {32:1--32:29},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-537.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Shamir18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Simon-GabrielS18,
  author    = {Carl{-}Johann Simon{-}Gabriel and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Kernel Distribution Embeddings: Universal Kernels, Characteristic
               Kernels and Kernel Metrics on Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {44:1--44:29},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-291.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Simon-GabrielS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SosicRPZK18,
  author    = {Adrian Sosic and
               Elmar Rueckert and
               Jan Peters and
               Abdelhak M. Zoubir and
               Heinz Koeppl},
  title     = {Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal
               Modeling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {69:1--69:45},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-113.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SosicRPZK18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SoudryHNGS18,
  author    = {Daniel Soudry and
               Elad Hoffer and
               Mor Shpigel Nacson and
               Suriya Gunasekar and
               Nathan Srebro},
  title     = {The Implicit Bias of Gradient Descent on Separable Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {70:1--70:57},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-188.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SoudryHNGS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SpantiniBM18,
  author    = {Alessio Spantini and
               Daniele Bigoni and
               Youssef M. Marzouk},
  title     = {Inference via Low-Dimensional Couplings},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {66:1--66:71},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-747.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SpantiniBM18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SrivastavaLD18,
  author    = {Sanvesh Srivastava and
               Cheng Li and
               David B. Dunson},
  title     = {Scalable Bayes via Barycenter in Wasserstein Space},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {8:1--8:35},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-084.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SrivastavaLD18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TepperSC18,
  author    = {Mariano Tepper and
               Anirvan M. Sengupta and
               Dmitri B. Chklovskii},
  title     = {Clustering is semidefinitely not that hard: Nonnegative {SDP} for
               manifold disentangling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {82:1--82:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/18-088.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TepperSC18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ThaneiMS18,
  author    = {Gian{-}Andrea Thanei and
               Nicolai Meinshausen and
               Rajen Dinesh Shah},
  title     = {The xyz algorithm for fast interaction search in high-dimensional
               data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {37:1--37:42},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/16-515.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ThaneiMS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TsakirisV18,
  author    = {Manolis C. Tsakiris and
               Ren{\'{e}} Vidal},
  title     = {Dual Principal Component Pursuit},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {18:1--18:50},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-436.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TsakirisV18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WenSLHC18,
  author    = {Zeyi Wen and
               Jiashuai Shi and
               Qinbin Li and
               Bingsheng He and
               Jian Chen},
  title     = {ThunderSVM: {A} Fast {SVM} Library on GPUs and CPUs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {21:1--21:5},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-740.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WenSLHC18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangL18,
  author    = {Tianbao Yang and
               Qihang Lin},
  title     = {{RSG:} Beating Subgradient Method without Smoothness and Strong Convexity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {6:1--6:33},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-016.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangNL18,
  author    = {Zhuoran Yang and
               Yang Ning and
               Han Liu},
  title     = {On Semiparametric Exponential Family Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {57:1--57:59},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/15-493.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangNL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YousefiLKMA18,
  author    = {Niloofar Yousefi and
               Yunwen Lei and
               Marius Kloft and
               Mansooreh Mollaghasemi and
               Georgios C. Anagnostopoulos},
  title     = {Local Rademacher Complexity-based Learning Guarantees for Multi-Task
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {38:1--38:47},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-144.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YousefiLKMA18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuMS18,
  author    = {Huizhen Yu and
               Ashique Rupam Mahmood and
               Richard S. Sutton},
  title     = {On Generalized Bellman Equations and Temporal-Difference Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {48:1--48:49},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-283.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuMS18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangY18,
  author    = {Teng Zhang and
               Yi Yang},
  title     = {Robust {PCA} by Manifold Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {80:1--80:39},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-473.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangY18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhengAB18,
  author    = {Charles Y. Zheng and
               Rakesh Achanta and
               Yuval Benjamini},
  title     = {Extrapolating Expected Accuracies for Large Multi-Class Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {65:1--65:30},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-701.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhengAB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouLYDX18,
  author    = {Yi Zhou and
               Yingbin Liang and
               Yaoliang Yu and
               Wei Dai and
               Eric P. Xing},
  title     = {Distributed Proximal Gradient Algorithm for Partially Asynchronous
               Computer Clusters},
  journal   = {J. Mach. Learn. Res.},
  volume    = {19},
  pages     = {19:1--19:32},
  year      = {2018},
  url       = {http://jmlr.org/papers/v19/17-444.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhouLYDX18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Abbe17,
  author    = {Emmanuel Abbe},
  title     = {Community Detection and Stochastic Block Models: Recent Developments},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {177:1--177:86},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-480.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Abbe17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AchabBGMMABGMM17,
  author    = {Massil Achab and
               Emmanuel Bacry and
               St{\'{e}}phane Ga{\"{\i}}ffas and
               Iacopo Mastromatteo and
               Jean{-}Fran{\c{c}}ois Muzy},
  title     = {Uncovering Causality from Multivariate Hawkes Integrated Cumulants},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {192:1--192:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-284.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AchabBGMMABGMM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AdamsEKNPSCHMZ17,
  author    = {Henry Adams and
               Tegan Emerson and
               Michael Kirby and
               Rachel Neville and
               Chris Peterson and
               Patrick D. Shipman and
               Sofya Chepushtanova and
               Eric M. Hanson and
               Francis C. Motta and
               Lori Ziegelmeier},
  title     = {Persistence Images: {A} Stable Vector Representation of Persistent
               Homology},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {8:1--8:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-337.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AdamsEKNPSCHMZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AgarwalBH17,
  author    = {Naman Agarwal and
               Brian Bullins and
               Elad Hazan},
  title     = {Second-Order Stochastic Optimization for Machine Learning in Linear
               Time},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {116:1--116:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-491.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AgarwalBH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AhsenCV17,
  author    = {Mehmet Eren Ahsen and
               Niharika Challapalli and
               Mathukumalli Vidyasagar},
  title     = {Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse
               Recovery and the Grouping Effect},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {54:1--54:24},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-453.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AhsenCV17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Al-ShedivatWSHX17,
  author    = {Maruan Al{-}Shedivat and
               Andrew Gordon Wilson and
               Yunus Saatchi and
               Zhiting Hu and
               Eric P. Xing},
  title     = {Learning Scalable Deep Kernels with Recurrent Structure},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {82:1--82:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-498.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Al-ShedivatWSHX17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AliC17,
  author    = {Hafiz Tiomoko Ali and
               Romain Couillet},
  title     = {Improved spectral community detection in large heterogeneous networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {225:1--225:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-247.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AliC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Allen-Zhu17,
  author    = {Zeyuan Allen{-}Zhu},
  title     = {Katyusha: The First Direct Acceleration of Stochastic Gradient Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {221:1--221:51},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-410.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Allen-Zhu17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AnandkumarGJ17,
  author    = {Animashree Anandkumar and
               Rong Ge and
               Majid Janzamin},
  title     = {Analyzing Tensor Power Method Dynamics in Overcomplete Regime},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {22:1--22:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-486.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AnandkumarGJ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AndersenVWH17,
  author    = {Michael Riis Andersen and
               Aki Vehtari and
               Ole Winther and
               Lars Kai Hansen},
  title     = {Bayesian Inference for Spatio-temporal Spike-and-Slab Priors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {139:1--139:58},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-464.html},
  timestamp = {Fri, 09 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AndersenVWH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AngelinoLASR17,
  author    = {Elaine Angelino and
               Nicholas Larus{-}Stone and
               Daniel Alabi and
               Margo I. Seltzer and
               Cynthia Rudin},
  title     = {Learning Certifiably Optimal Rule Lists for Categorical Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {234:1--234:78},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-716.html},
  timestamp = {Thu, 10 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AngelinoLASR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Angiulli17,
  author    = {Fabrizio Angiulli},
  title     = {On the Behavior of Intrinsically High-Dimensional Spaces: Distances,
               Direct and Reverse Nearest Neighbors, and Hubness},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {170:1--170:60},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-151.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Angiulli17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Arias-CastroLZ17,
  author    = {Ery Arias{-}Castro and
               Gilad Lerman and
               Teng Zhang},
  title     = {Spectral Clustering Based on Local {PCA}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {9:1--9:57},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-318.html},
  timestamp = {Mon, 23 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/Arias-CastroLZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AshraphijuoW17,
  author    = {Morteza Ashraphijuo and
               Xiaodong Wang},
  title     = {Fundamental Conditions for Low-CP-Rank Tensor Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {63:1--63:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-189.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AshraphijuoW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AshraphijuoWA17,
  author    = {Morteza Ashraphijuo and
               Xiaodong Wang and
               Vaneet Aggarwal},
  title     = {Rank Determination for Low-Rank Data Completion},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {98:1--98:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-375.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AshraphijuoWA17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AtchadeFM17,
  author    = {Yves F. Atchad{\'{e}} and
               Gersende Fort and
               Eric Moulines},
  title     = {On Perturbed Proximal Gradient Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {10:1--10:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-038.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AtchadeFM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AthreyaFTPPVLLQ17,
  author    = {Avanti Athreya and
               Donniell E. Fishkind and
               Minh Tang and
               Carey E. Priebe and
               Youngser Park and
               Joshua T. Vogelstein and
               Keith Levin and
               Vince Lyzinski and
               Yichen Qin and
               Daniel L. Sussman},
  title     = {Statistical Inference on Random Dot Product Graphs: a Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {226:1--226:92},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-448.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AthreyaFTPPVLLQ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AwasthiBV17,
  author    = {Pranjal Awasthi and
               Maria{-}Florina Balcan and
               Konstantin Voevodski},
  title     = {Local algorithms for interactive clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {3:1--3:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-085.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AwasthiBV17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bach17,
  author    = {Francis R. Bach},
  title     = {Breaking the Curse of Dimensionality with Convex Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {19:1--19:53},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-546.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bach17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bach17a,
  author    = {Francis R. Bach},
  title     = {On the Equivalence between Kernel Quadrature Rules and Random Feature
               Expansions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {21:1--21:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-178.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bach17a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BachBHG17,
  author    = {Stephen H. Bach and
               Matthias Broecheler and
               Bert Huang and
               Lise Getoor},
  title     = {Hinge-Loss Markov Random Fields and Probabilistic Soft Logic},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {109:1--109:67},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-631.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BachBHG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BacryBDGP17,
  author    = {Emmanuel Bacry and
               Martin Bompaire and
               Philip Deegan and
               St{\'{e}}phane Ga{\"{\i}}ffas and
               S{\o}ren Poulsen},
  title     = {tick: a Python Library for Statistical Learning, with an emphasis
               on Hawkes Processes and Time-Dependent Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {214:1--214:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-381.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BacryBDGP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BalachandranKV17,
  author    = {Prakash Balachandran and
               Eric D. Kolaczyk and
               Weston D. Viles},
  title     = {On the Propagation of Low-Rate Measurement Error to Subgraph Counts
               in Large Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {61:1--61:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-497.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BalachandranKV17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BardenetDH17,
  author    = {R{\'{e}}mi Bardenet and
               Arnaud Doucet and
               Christopher C. Holmes},
  title     = {On Markov chain Monte Carlo methods for tall data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {47:1--47:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-205.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BardenetDH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BaydinPRS17,
  author    = {Atilim Gunes Baydin and
               Barak A. Pearlmutter and
               Alexey Andreyevich Radul and
               Jeffrey Mark Siskind},
  title     = {Automatic Differentiation in Machine Learning: a Survey},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {153:1--153:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-468.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BaydinPRS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BenavoliCDZ17,
  author    = {Alessio Benavoli and
               Giorgio Corani and
               Janez Demsar and
               Marco Zaffalon},
  title     = {Time for a Change: a Tutorial for Comparing Multiple Classifiers Through
               Bayesian Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {77:1--77:36},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-305.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BenavoliCDZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BertsimasCM17,
  author    = {Dimitris Bertsimas and
               Martin S. Copenhaver and
               Rahul Mazumder},
  title     = {Certifiably Optimal Low Rank Factor Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {29:1--29:53},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-613.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BertsimasCM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BertsimasPZ17,
  author    = {Dimitris Bertsimas and
               Colin Pawlowski and
               Ying Daisy Zhuo},
  title     = {From Predictive Methods to Missing Data Imputation: An Optimization
               Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {196:1--196:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-073.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BertsimasPZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BigotDF17,
  author    = {J{\'{e}}r{\'{e}}mie Bigot and
               Charles Deledalle and
               Delphine F{\'{e}}ral},
  title     = {Generalized {SURE} for optimal shrinkage of singular values in low-rank
               matrix denoising},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {137:1--137:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-266.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BigotDF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BilodeauN17,
  author    = {Martin Bilodeau and
               Aur{\'{e}}lien Guetsop Nangue},
  title     = {Tests of Mutual or Serial Independence of Random Vectors with Applications},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {74:1--74:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-184.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BilodeauN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BorgsCCH17,
  author    = {Christian Borgs and
               Jennifer T. Chayes and
               Henry Cohn and
               Nina Holden},
  title     = {Sparse Exchangeable Graphs and Their Limits via Graphon Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {210:1--210:71},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-421.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BorgsCCH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BorkarDS17,
  author    = {Vivek S. Borkar and
               Vikranth Reddy Dwaracherla and
               Neeraja Sahasrabudhe},
  title     = {Gradient Estimation with Simultaneous Perturbation and Compressive
               Sensing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {161:1--161:27},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-592.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BorkarDS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bouchard-CoteDR17,
  author    = {Alexandre Bouchard{-}C{\^{o}}t{\'{e}} and
               Arnaud Doucet and
               Andrew Roth},
  title     = {Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {28:1--28:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-397.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bouchard-CoteDR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BoydHBRJ17,
  author    = {Nicholas Boyd and
               Trevor Hastie and
               Stephen P. Boyd and
               Benjamin Recht and
               Michael I. Jordan},
  title     = {Saturating Splines and Feature Selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {197:1--197:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-178.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BoydHBRJ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BrockmeierMAG17,
  author    = {Austin J. Brockmeier and
               Tingting Mu and
               Sophia Ananiadou and
               John Yannis Goulermas},
  title     = {Quantifying the Informativeness of Similarity Measurements},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {76:1--76:61},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-296.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BrockmeierMAG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BuccapatnamLES17,
  author    = {Swapna Buccapatnam and
               Fang Liu and
               Atilla Eryilmaz and
               Ness B. Shroff},
  title     = {Reward Maximization Under Uncertainty: Leveraging Side-Observations
               on Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {216:1--216:34},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-340.html},
  timestamp = {Thu, 08 Aug 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BuccapatnamLES17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BuiYT17,
  author    = {Thang D. Bui and
               Josiah Yan and
               Richard E. Turner},
  title     = {A Unifying Framework for Gaussian Process Pseudo-Point Approximations
               using Power Expectation Propagation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {104:1--104:72},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-603.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BuiYT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CaronNWDD17,
  author    = {Fran{\c{c}}ois Caron and
               Willie Neiswanger and
               Frank D. Wood and
               Arnaud Doucet and
               Manuel Davy},
  title     = {Generalized P{\'{o}}lya Urn for Time-Varying Pitman-Yor Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {27:1--27:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/10-231.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CaronNWDD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CastroER17,
  author    = {Yohann de Castro and
               Thibault Espinasse and
               Paul Rochet},
  title     = {Reconstructing Undirected Graphs from Eigenspaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {51:1--51:24},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-146.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CastroER17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChakrabartiFCM17,
  author    = {Deepayan Chakrabarti and
               Stanislav Funiak and
               Jonathan Chang and
               Sofus A. Macskassy},
  title     = {Joint Label Inference in Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {59:1--59:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-214.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChakrabartiFCM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChangLZ17,
  author    = {Xiangyu Chang and
               Shaobo Lin and
               Ding{-}Xuan Zhou},
  title     = {Distributed Semi-supervised Learning with Kernel Ridge Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {46:1--46:22},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-601.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChangLZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CharlesYR17,
  author    = {Adam S. Charles and
               Dong Yin and
               Christopher J. Rozell},
  title     = {Distributed Sequence Memory of Multidimensional Inputs in Recurrent
               Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {7:1--7:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-270.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CharlesYR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChaudhuriT17,
  author    = {Sougata Chaudhuri and
               Ambuj Tewari},
  title     = {Online Learning to Rank with Top-k Feedback},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {103:1--103:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-285.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChaudhuriT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChazalFLMRW17,
  author    = {Fr{\'{e}}d{\'{e}}ric Chazal and
               Brittany Fasy and
               Fabrizio Lecci and
               Bertrand Michel and
               Alessandro Rinaldo and
               Larry A. Wasserman},
  title     = {Robust Topological Inference: Distance To a Measure and Kernel Distance},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {159:1--159:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-484.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChazalFLMRW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenAS17,
  author    = {Jie Chen and
               Haim Avron and
               Vikas Sindhwani},
  title     = {Hierarchically Compositional Kernels for Scalable Nonparametric Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {66:1--66:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-376.html},
  timestamp = {Mon, 31 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenAS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenW17,
  author    = {Likai Chen and
               Wei Biao Wu},
  title     = {Concentration inequalities for empirical processes of linear time
               series},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {231:1--231:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-012.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChowGJP17,
  author    = {Yinlam Chow and
               Mohammad Ghavamzadeh and
               Lucas Janson and
               Marco Pavone},
  title     = {Risk-Constrained Reinforcement Learning with Percentile Risk Criteria},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {167:1--167:51},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-636.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChowGJP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CorettoH17,
  author    = {Pietro Coretto and
               Christian Hennig},
  title     = {Consistency, Breakdown Robustness, and Algorithms for Robust Improper
               Maximum Likelihood Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {142:1--142:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-382.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CorettoH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CowanHK17,
  author    = {Wesley Cowan and
               Junya Honda and
               Michael N. Katehakis},
  title     = {Normal Bandits of Unknown Means and Variances},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {154:1--154:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-154.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CowanHK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DarnellGME17,
  author    = {Gregory Darnell and
               Stoyan Georgiev and
               Sayan Mukherjee and
               Barbara E. Engelhardt},
  title     = {Adaptive Randomized Dimension Reduction on Massive Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {140:1--140:30},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-143.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DarnellGME17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DenisH17,
  author    = {Christophe Denis and
               Mohamed Hebiri},
  title     = {Confidence Sets with Expected Sizes for Multiclass Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {102:1--102:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-596.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DenisH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DieuleveutFB17,
  author    = {Aymeric Dieuleveut and
               Nicolas Flammarion and
               Francis R. Bach},
  title     = {Harder, Better, Faster, Stronger Convergence Rates for Least-Squares
               Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {101:1--101:51},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-335.html},
  timestamp = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DieuleveutFB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DimitrakakisNZM17,
  author    = {Christos Dimitrakakis and
               Blaine Nelson and
               Zuhe Zhang and
               Aikaterini Mitrokotsa and
               Benjamin I. P. Rubinstein},
  title     = {Differential Privacy for Bayesian Inference through Posterior Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {11:1--11:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-257.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DimitrakakisNZM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DingDLC17,
  author    = {A. Adam Ding and
               Jennifer G. Dy and
               Yi Li and
               Yale Chang},
  title     = {A Robust-Equitable Measure for Feature Ranking and Selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {71:1--71:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-079.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DingDLC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DoringGW17,
  author    = {Maik D{\"{o}}ring and
               L{\'{a}}szl{\'{o}} Gy{\"{o}}rfi and
               Harro Walk},
  title     = {Rate of Convergence of {\textdollar}k{\textdollar}-Nearest-Neighbor
               Classification Rule},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {227:1--227:16},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-755.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DoringGW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuLBGZS17,
  author    = {Nan Du and
               Yingyu Liang and
               Maria{-}Florina Balcan and
               Manuel Gomez{-}Rodriguez and
               Hongyuan Zha and
               Le Song},
  title     = {Scalable Influence Maximization for Multiple Products in Continuous-Time
               Diffusion Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {2:1--2:45},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-400.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuLBGZS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuMWKM17,
  author    = {Jian Du and
               Shaodan Ma and
               Yik{-}Chung Wu and
               Soummya Kar and
               Jos{\'{e}} M. F. Moura},
  title     = {Convergence Analysis of Distributed Inference with Vector-Valued Gaussian
               Belief Propagation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {172:1--172:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-556.html},
  timestamp = {Thu, 22 Aug 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuMWKM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DupuyB17,
  author    = {Christophe Dupuy and
               Francis R. Bach},
  title     = {Online but Accurate Inference for Latent Variable Models with Local
               Gibbs Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {126:1--126:45},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-374.html},
  timestamp = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/DupuyB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuranteMS17,
  author    = {Daniele Durante and
               Nabanita Mukherjee and
               Rebecca C. Steorts},
  title     = {Bayesian Learning of Dynamic Multilayer Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {43:1--43:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-391.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuranteMS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EgorovSBWGK17,
  author    = {Maxim Egorov and
               Zachary N. Sunberg and
               Edward Balaban and
               Tim Allan Wheeler and
               Jayesh K. Gupta and
               Mykel J. Kochenderfer},
  title     = {POMDPs.jl: {A} Framework for Sequential Decision Making under Uncertainty},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {26:1--26:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-300.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/EgorovSBWGK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FanWZ17,
  author    = {Jianqing Fan and
               Weichen Wang and
               Yiqiao Zhong},
  title     = {An {\textdollar}{\textbackslash}ell{\_}\{{\textbackslash}infty\}{\textdollar}
               Eigenvector Perturbation Bound and Its Application},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {207:1--207:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-140.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FanWZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FarajtabarWGLZS17,
  author    = {Mehrdad Farajtabar and
               Yichen Wang and
               Manuel Gomez{-}Rodriguez and
               Shuang Li and
               Hongyuan Zha and
               Le Song},
  title     = {{COEVOLVE:} {A} Joint Point Process Model for Information Diffusion
               and Network Evolution},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {41:1--41:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-132.html},
  timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FarajtabarWGLZS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FennM17,
  author    = {Shannon Fenn and
               Pablo Moscato},
  title     = {Target Curricula via Selection of Minimum Feature Sets: a Case Study
               in Boolean Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {114:1--114:26},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-007.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FennM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FiliceCMMCB17,
  author    = {Simone Filice and
               Giuseppe Castellucci and
               Giovanni Da San Martino and
               Alessandro Moschitti and
               Danilo Croce and
               Roberto Basili},
  title     = {{KELP:} a Kernel-based Learning Platform},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {191:1--191:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-087.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FiliceCMMCB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FlammarionPB17,
  author    = {Nicolas Flammarion and
               Balamurugan Palaniappan and
               Francis R. Bach},
  title     = {Robust Discriminative Clustering with Sparse Regularizers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {80:1--80:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-429.html},
  timestamp = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FlammarionPB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FreitagAPCS17,
  author    = {Michael Freitag and
               Shahin Amiriparian and
               Sergey Pugachevskiy and
               Nicholas Cummins and
               Bj{\"{o}}rn W. Schuller},
  title     = {auDeep: Unsupervised Learning of Representations from Audio with Deep
               Recurrent Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {173:1--173:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-406.html},
  timestamp = {Mon, 03 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/FreitagAPCS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaoMZZ17,
  author    = {Chao Gao and
               Zongming Ma and
               Anderson Y. Zhang and
               Harrison H. Zhou},
  title     = {Achieving Optimal Misclassification Proportion in Stochastic Block
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {60:1--60:45},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-245.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaoMZZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaoRSZ17,
  author    = {Ziyuan Gao and
               Christoph Ries and
               Hans Ulrich Simon and
               Sandra Zilles},
  title     = {Preference-based Teaching},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {31:1--31:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-460.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaoRSZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GatesA17,
  author    = {Alexander J. Gates and
               Yong{-}Yeol Ahn},
  title     = {The Impact of Random Models on Clustering Similarity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {87:1--87:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-039.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GatesA17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GeorgeD17,
  author    = {Clint P. George and
               Hani Doss},
  title     = {Principled Selection of Hyperparameters in the Latent Dirichlet Allocation
               Model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {162:1--162:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-595.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GeorgeD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GerberM17,
  author    = {Samuel Gerber and
               Mauro Maggioni},
  title     = {Multiscale Strategies for Computing Optimal Transport},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {72:1--72:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-108.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GerberM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GhoshdastidarD17,
  author    = {Debarghya Ghoshdastidar and
               Ambedkar Dukkipati},
  title     = {Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling
               Techniques},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {50:1--50:41},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-100.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GhoshdastidarD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GonenS17,
  author    = {Alon Gonen and
               Shai Shalev{-}Shwartz},
  title     = {Average Stability is Invariant to Data Preconditioning. Implications
               to Exp-concave Empirical Risk Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {222:1--222:13},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-503.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GonenS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GottliebKN17,
  author    = {Lee{-}Ad Gottlieb and
               Aryeh Kontorovich and
               Pinhas Nisnevitch},
  title     = {Nearly optimal classification for semimetrics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {37:1--37:22},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-217.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GottliebKN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Grunewalder17,
  author    = {Steffen Gr{\"{u}}new{\"{a}}lder},
  title     = {Compact Convex Projections},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {219:1--219:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-147.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Grunewalder17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuedjD17,
  author    = {Benjamin Guedj and
               Bhargav Srinivasa Desikan},
  title     = {Pycobra: {A} Python Toolbox for Ensemble Learning and Visualisation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {190:1--190:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-228.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuedjD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuhaniyogiQD17,
  author    = {Rajarshi Guhaniyogi and
               Shaan Qamar and
               David B. Dunson},
  title     = {Bayesian Tensor Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {79:1--79:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-362.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuhaniyogiQD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Guillame-BertD17,
  author    = {Mathieu Guillame{-}Bert and
               Artur Dubrawski},
  title     = {Classification of Time Sequences using Graphs of Temporal Constraints},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {121:1--121:34},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-403.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Guillame-BertD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoSW17,
  author    = {Zheng{-}Chu Guo and
               Lei Shi and
               Qiang Wu},
  title     = {Learning Theory of Distributed Regression with Bias Corrected Regularization
               Kernel Network},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {118:1--118:25},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-423.html},
  timestamp = {Thu, 03 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoSW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HajekWX17,
  author    = {Bruce E. Hajek and
               Yihong Wu and
               Jiaming Xu},
  title     = {Submatrix localization via message passing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {186:1--186:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-297.html},
  timestamp = {Mon, 24 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HajekWX17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HallacWDSSBL17,
  author    = {David Hallac and
               Christopher Wong and
               Steven Diamond and
               Abhijit Sharang and
               Rok Sosic and
               Stephen P. Boyd and
               Jure Leskovec},
  title     = {SnapVX: {A} Network-Based Convex Optimization Solver},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {4:1--4:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-492.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HallacWDSSBL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hamm17,
  author    = {Jihun Hamm},
  title     = {Minimax Filter: Learning to Preserve Privacy from Inference Attacks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {129:1--129:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-501.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hamm17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HaoSLC17,
  author    = {Botao Hao and
               Will Wei Sun and
               Yufeng Liu and
               Guang Cheng},
  title     = {Simultaneous Clustering and Estimation of Heterogeneous Graphical
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {217:1--217:58},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-019.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HaoSLC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HasencleverWLVL17,
  author    = {Leonard Hasenclever and
               Stefan Webb and
               Thibaut Lienart and
               Sebastian J. Vollmer and
               Balaji Lakshminarayanan and
               Charles Blundell and
               Yee Whye Teh},
  title     = {Distributed Bayesian Learning with Stochastic Natural Gradient Expectation
               Propagation and the Posterior Server},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {106:1--106:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-478.html},
  timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/HasencleverWLVL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HelmboldL17,
  author    = {David P. Helmbold and
               Philip M. Long},
  title     = {Surprising properties of dropout in deep networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {200:1--200:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-549.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HelmboldL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HensmanDS17,
  author    = {James Hensman and
               Nicolas Durrande and
               Arno Solin},
  title     = {Variational Fourier Features for Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {151:1--151:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-579.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HensmanDS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HeusserZOM17,
  author    = {Andrew C. Heusser and
               Kirsten Ziman and
               Lucy L. W. Owen and
               Jeremy R. Manning},
  title     = {HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional
               Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {152:1--152:6},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-434.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HeusserZOM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoofNP17,
  author    = {Herke van Hoof and
               Gerhard Neumann and
               Jan Peters},
  title     = {Non-parametric Policy Search with Limited Information Loss},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {73:1--73:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-142.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoofNP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuLMQY17,
  author    = {Yaohua Hu and
               Chong Li and
               Kaiwen Meng and
               Jing Qin and
               Xiaoqi Yang},
  title     = {Group Sparse Optimization via lp, q Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {30:1--30:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-651.html},
  timestamp = {Mon, 03 Aug 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HuLMQY17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Huang17,
  author    = {Hanwen Huang},
  title     = {Asymptotic behavior of Support Vector Machine for spiked population
               model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {45:1--45:21},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-564.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Huang17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuangLGS17,
  author    = {Ruitong Huang and
               Tor Lattimore and
               Andr{\'{a}}s Gy{\"{o}}rgy and
               Csaba Szepesv{\'{a}}ri},
  title     = {Following the Leader and Fast Rates in Online Linear Prediction: Curved
               Constraint Sets and Other Regularities},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {145:1--145:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-079.html},
  timestamp = {Tue, 19 May 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HuangLGS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HubaraCSEB17,
  author    = {Itay Hubara and
               Matthieu Courbariaux and
               Daniel Soudry and
               Ran El{-}Yaniv and
               Yoshua Bengio},
  title     = {Quantized Neural Networks: Training Neural Networks with Low Precision
               Weights and Activations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {187:1--187:30},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-456.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HubaraCSEB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/IshiguroSU17,
  author    = {Katsuhiko Ishiguro and
               Issei Sato and
               Naonori Ueda},
  title     = {Averaged Collapsed Variational Bayes Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {1:1--1:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/14-249.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/IshiguroSU17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ItoTT17,
  author    = {Naoki Ito and
               Akiko Takeda and
               Kim{-}Chuan Toh},
  title     = {A Unified Formulation and Fast Accelerated Proximal Gradient Method
               for Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {16:1--16:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-274.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ItoTT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Jaeger17,
  author    = {Herbert Jaeger},
  title     = {Using Conceptors to Manage Neural Long-Term Memories for Temporal
               Patterns},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {13:1--13:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-449.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Jaeger17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JagabathulaSV17,
  author    = {Srikanth Jagabathula and
               Lakshminarayanan Subramanian and
               Ashwin Venkataraman},
  title     = {Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling
               Tasks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {93:1--93:67},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-650.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JagabathulaSV17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JainKKNS17,
  author    = {Prateek Jain and
               Sham M. Kakade and
               Rahul Kidambi and
               Praneeth Netrapalli and
               Aaron Sidford},
  title     = {Parallelizing Stochastic Gradient Descent for Least Squares Regression:
               Mini-batching, Averaging, and Model Misspecification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {223:1--223:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-595.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JainKKNS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Javanmard17,
  author    = {Adel Javanmard},
  title     = {Perishability of Data: Dynamic Pricing under Varying-Coefficient Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {53:1--53:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-061.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Javanmard17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Kasai17,
  author    = {Hiroyuki Kasai},
  title     = {SGDLibrary: {A} {MATLAB} library for stochastic optimization algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {215:1--215:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-632.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Kasai17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KimSHS17,
  author    = {Dae Il Kim and
               Benjamin F. Swanson and
               Michael C. Hughes and
               Erik B. Sudderth},
  title     = {Refinery: An Open Source Topic Modeling Web Platform},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {12:1--12:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-441.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KimSHS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KleindessnerL17,
  author    = {Matth{\"{a}}us Kleindessner and
               Ulrike von Luxburg},
  title     = {Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools
               for Ordinal Data Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {58:1--58:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-061.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KleindessnerL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KonevLOW17,
  author    = {Boris Konev and
               Carsten Lutz and
               Ana Ozaki and
               Frank Wolter},
  title     = {Exact Learning of Lightweight Description Logic Ontologies},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {201:1--201:63},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-256.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KonevLOW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KontorovichSU17,
  author    = {Aryeh Kontorovich and
               Sivan Sabato and
               Ruth Urner},
  title     = {Active Nearest-Neighbor Learning in Metric Spaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {195:1--195:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-499.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KontorovichSU17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KotthoffTHHL17,
  author    = {Lars Kotthoff and
               Chris Thornton and
               Holger H. Hoos and
               Frank Hutter and
               Kevin Leyton{-}Brown},
  title     = {Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization
               in {WEKA}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {25:1--25:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-261.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KotthoffTHHL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KpotufeV17,
  author    = {Samory Kpotufe and
               Nakul Verma},
  title     = {Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction
               Quality},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {44:1--44:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-538.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KpotufeV17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KucukelbirTRGB17,
  author    = {Alp Kucukelbir and
               Dustin Tran and
               Rajesh Ranganath and
               Andrew Gelman and
               David M. Blei},
  title     = {Automatic Differentiation Variational Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {14:1--14:45},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-107.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KucukelbirTRGB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KumarB17,
  author    = {K. S. Sesh Kumar and
               Francis R. Bach},
  title     = {Active-set Methods for Submodular Minimization Problems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {132:1--132:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-101.html},
  timestamp = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/KumarB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KunduDM17,
  author    = {Abhisek Kundu and
               Petros Drineas and
               Malik Magdon{-}Ismail},
  title     = {Recovering {PCA} and Sparse {PCA} via Hybrid-(l1, l2) Sparse Sampling
               of Data Elements},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {75:1--75:34},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-258.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KunduDM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KusanoFH17,
  author    = {Genki Kusano and
               Kenji Fukumizu and
               Yasuaki Hiraoka},
  title     = {Kernel Method for Persistence Diagrams via Kernel Embedding and Weight
               Factor},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {189:1--189:41},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-317.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KusanoFH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LaulyZAL17,
  author    = {Stanislas Lauly and
               Yin Zheng and
               Alexandre Allauzen and
               Hugo Larochelle},
  title     = {Document Neural Autoregressive Distribution Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {113:1--113:24},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-017.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LaulyZAL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeNNP17,
  author    = {Trung Le and
               Tu Dinh Nguyen and
               Vu Nguyen and
               Dinh Q. Phung},
  title     = {Approximation Vector Machines for Large-scale Online Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {111:1--111:55},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-191.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeNNP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LecueM17,
  author    = {Guillaume Lecu{\'{e}} and
               Shahar Mendelson},
  title     = {Regularization and the small-ball method {II:} complexity dependent
               error rates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {146:1--146:48},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-422.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LecueM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeeLMY17,
  author    = {Jason D. Lee and
               Qihang Lin and
               Tengyu Ma and
               Tianbao Yang},
  title     = {Distributed Stochastic Variance Reduced Gradient Methods by Sampling
               Extra Data with Replacement},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {122:1--122:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-640.html},
  timestamp = {Sun, 08 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeeLMY17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeeLST17,
  author    = {Jason D. Lee and
               Qiang Liu and
               Yuekai Sun and
               Jonathan E. Taylor},
  title     = {Communication-efficient Sparse Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {5:1--5:30},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-002.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeeLST17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeiSG17,
  author    = {Yunwen Lei and
               Lei Shi and
               Zheng{-}Chu Guo},
  title     = {Convergence of Unregularized Online Learning Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {171:1--171:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-457.html},
  timestamp = {Thu, 03 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeiSG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LemaitreNA17,
  author    = {Guillaume Lemaitre and
               Fernando Nogueira and
               Christos K. Aridas},
  title     = {Imbalanced-learn: {A} Python Toolbox to Tackle the Curse of Imbalanced
               Datasets in Machine Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {17:1--17:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-365.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LemaitreNA17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeppaahoAK17,
  author    = {Eemeli Lepp{\"{a}}aho and
               Muhammad Ammad{-}ud{-}din and
               Samuel Kaski},
  title     = {{GFA:} Exploratory Analysis of Multiple Data Sources with Group Factor
               Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {39:1--39:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-509.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeppaahoAK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiCTE17,
  author    = {Qianxiao Li and
               Long Chen and
               Cheng Tai and
               Weinan E},
  title     = {Maximum Principle Based Algorithms for Deep Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {165:1--165:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-653.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiCTE17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiJDRT17,
  author    = {Lisha Li and
               Kevin G. Jamieson and
               Giulia DeSalvo and
               Afshin Rostamizadeh and
               Ameet Talwalkar},
  title     = {Hyperband: {A} Novel Bandit-Based Approach to Hyperparameter Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {185:1--185:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-558.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiJDRT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiT17,
  author    = {Zifan Li and
               Ambuj Tewari},
  title     = {Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial
               Multi-armed Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {183:1--183:24},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-364.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiZALH17,
  author    = {Xingguo Li and
               Tuo Zhao and
               Raman Arora and
               Han Liu and
               Mingyi Hong},
  title     = {On Faster Convergence of Cyclic Block Coordinate Descent-type Methods
               for Strongly Convex Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {184:1--184:24},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-157.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiZALH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LianF17,
  author    = {Heng Lian and
               Zengyan Fan},
  title     = {Divide-and-Conquer for Debiased {\textdollar}l{\_}1{\textdollar}-norm
               Support Vector Machine in Ultra-high Dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {182:1--182:26},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-343.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LianF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiangLSW17,
  author    = {Shuhan Liang and
               Wenbin Lu and
               Rui Song and
               Lan Wang},
  title     = {Sparse Concordance-assisted Learning for Optimal Treatment Decision},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {202:1--202:26},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-159.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiangLSW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LimCX17,
  author    = {Shiau Hong Lim and
               Yudong Chen and
               Huan Xu},
  title     = {Clustering from General Pairwise Observations with Applications to
               Time-varying Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {49:1--49:47},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-659.html},
  timestamp = {Tue, 10 Sep 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LimCX17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinGZ17,
  author    = {Shaobo Lin and
               Xin Guo and
               Ding{-}Xuan Zhou},
  title     = {Distributed Learning with Regularized Least Squares},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {92:1--92:31},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-586.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinGZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinL17,
  author    = {Lin Lin and
               Jia Li},
  title     = {Clustering with Hidden Markov Model on Variable Blocks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {110:1--110:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-342.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinM17,
  author    = {Jiahe Lin and
               George Michailidis},
  title     = {Regularized Estimation and Testing for High-Dimensional Multi-Block
               Vector-Autoregressive Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {117:1--117:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-055.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinMH17,
  author    = {Hongzhou Lin and
               Julien Mairal and
               Za{\"{\i}}d Harchaoui},
  title     = {Catalyst Acceleration for First-order Convex Optimization: from Theory
               to Practice},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {212:1--212:54},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-748.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinMH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinR17,
  author    = {Junhong Lin and
               Lorenzo Rosasco},
  title     = {Optimal Rates for Multi-pass Stochastic Gradient Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {97:1--97:47},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-176.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuT17,
  author    = {Weiwei Liu and
               Ivor W. Tsang},
  title     = {Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {81:1--81:36},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-466.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuTM17,
  author    = {Weiwei Liu and
               Ivor W. Tsang and
               Klaus{-}Robert M{\"{u}}ller},
  title     = {An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple
               Labels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {94:1--94:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-212.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuTM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuKL17,
  author    = {Junwei Lu and
               Mladen Kolar and
               Han Liu},
  title     = {Post-Regularization Inference for Time-Varying Nonparanormal Graphical
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {203:1--203:78},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-145.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuKL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LucicFKF17,
  author    = {Mario Lucic and
               Matthew Faulkner and
               Andreas Krause and
               Dan Feldman},
  title     = {Training Gaussian Mixture Models at Scale via Coresets},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {160:1--160:25},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-506.html},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/LucicFKF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaZ17,
  author    = {Yuting Ma and
               Tian Zheng},
  title     = {Stabilized Sparse Online Learning for Sparse Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {131:1--131:36},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-190.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MahajanKS17,
  author    = {Dhruv Mahajan and
               S. Sathiya Keerthi and
               S. Sundararajan},
  title     = {A distributed block coordinate descent method for training l1 regularized
               linear classifiers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {91:1--91:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-484.html},
  timestamp = {Mon, 28 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MahajanKS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MahsereciH17,
  author    = {Maren Mahsereci and
               Philipp Hennig},
  title     = {Probabilistic Line Searches for Stochastic Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {119:1--119:59},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-049.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MahsereciH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MandtHB17,
  author    = {Stephan Mandt and
               Matthew D. Hoffman and
               David M. Blei},
  title     = {Stochastic Gradient Descent as Approximate Bayesian Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {134:1--134:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-214.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MandtHB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MartinezARIT17,
  author    = {David Mart{\'{\i}}nez Mart{\'{\i}}nez and
               Guillem Aleny{\`{a}} and
               Tony Ribeiro and
               Katsumi Inoue and
               Carme Torras},
  title     = {Relational Reinforcement Learning for Planning with Exogenous Effects},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {78:1--78:44},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-326.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MartinezARIT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MatthewsWNFBLGH17,
  author    = {Alexander G. de G. Matthews and
               Mark van der Wilk and
               Tom Nickson and
               Keisuke Fujii and
               Alexis Boukouvalas and
               Pablo Le{\'{o}}n{-}Villagr{\'{a}} and
               Zoubin Ghahramani and
               James Hensman},
  title     = {GPflow: {A} Gaussian Process Library using TensorFlow},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {40:1--40:6},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-537.html},
  timestamp = {Wed, 29 Apr 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MatthewsWNFBLGH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/McDonaldSS17,
  author    = {Daniel J. McDonald and
               Cosma Rohilla Shalizi and
               Mark J. Schervish},
  title     = {Nonparametric Risk Bounds for Time-Series Forecasting},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {32:1--32:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/13-336.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/McDonaldSS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/McMahan17,
  author    = {H. Brendan McMahan},
  title     = {A survey of Algorithms and Analysis for Adaptive Online Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {90:1--90:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-428.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/McMahan17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MelnykB17,
  author    = {Igor Melnyk and
               Arindam Banerjee},
  title     = {A Spectral Algorithm for Inference in Hidden semi-Markov Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {35:1--35:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-468.html},
  timestamp = {Thu, 28 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/MelnykB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MinskerSLD17,
  author    = {Stanislav Minsker and
               Sanvesh Srivastava and
               Lizhen Lin and
               David B. Dunson},
  title     = {Robust and Scalable Bayes via a Median of Subset Posterior Measures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {124:1--124:40},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-655.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MinskerSLD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MorningstarM17,
  author    = {Alan Morningstar and
               Roger G. Melko},
  title     = {Deep Learning the Ising Model Near Criticality},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {163:1--163:17},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-527.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MorningstarM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MorstatterL17,
  author    = {Fred Morstatter and
               Huan Liu},
  title     = {In Search of Coherence and Consensus: Measuring the Interpretability
               of Statistical Topics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {169:1--169:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-069.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MorstatterL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NarayananR17,
  author    = {Hariharan Narayanan and
               Alexander Rakhlin},
  title     = {Efficient Sampling from Time-Varying Log-Concave Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {112:1--112:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-223.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NarayananR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NatarajanDRT17,
  author    = {Nagarajan Natarajan and
               Inderjit S. Dhillon and
               Pradeep Ravikumar and
               Ambuj Tewari},
  title     = {Cost-Sensitive Learning with Noisy Labels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {155:1--155:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-226.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NatarajanDRT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NdiayeFGS17,
  author    = {Eug{\`{e}}ne Ndiaye and
               Olivier Fercoq and
               Alexandre Gramfort and
               Joseph Salmon},
  title     = {Gap Safe Screening Rules for Sparsity Enforcing Penalties},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {128:1--128:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-577.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NdiayeFGS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NevoR17,
  author    = {Daniel Nevo and
               Yaacov Ritov},
  title     = {Identifying a Minimal Class of Models for High-dimensional Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {24:1--24:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-172.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NevoR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NogueiraSB17,
  author    = {Sarah Nogueira and
               Konstantinos Sechidis and
               Gavin Brown},
  title     = {On the Stability of Feature Selection Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {174:1--174:54},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-514.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NogueiraSB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NortonMU17,
  author    = {Matthew Norton and
               Alexander Mafusalov and
               Stan Uryasev},
  title     = {Soft Margin Support Vector Classification as Buffered Probability
               Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {68:1--68:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-566.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NortonMU17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OliehoekSTRM17,
  author    = {Frans A. Oliehoek and
               Matthijs T. J. Spaan and
               Bas Terwijn and
               Philipp Robbel and
               Jo{\~{a}}o V. Messias},
  title     = {The {MADP} Toolbox: An Open Source Library for Planning and Learning
               in (Multi-)Agent Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {89:1--89:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-156.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OliehoekSTRM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OllivierAAH17,
  author    = {Yann Ollivier and
               Ludovic Arnold and
               Anne Auger and
               Nikolaus Hansen},
  title     = {Information-Geometric Optimization Algorithms: {A} Unifying Picture
               via Invariance Principles},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {18:1--18:65},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-467.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OllivierAAH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PadillaSST17,
  author    = {Oscar Hernan Madrid Padilla and
               James Sharpnack and
               James G. Scott and
               Ryan J. Tibshirani},
  title     = {The {DFS} Fused Lasso: Linear-Time Denoising over General Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {176:1--176:36},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-532.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PadillaSST17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PainskyT17,
  author    = {Amichai Painsky and
               Naftali Tishby},
  title     = {Gaussian Lower Bound for the Information Bottleneck Limit},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {213:1--213:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-398.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PainskyT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PalowitchBN17,
  author    = {John Palowitch and
               Shankar Bhamidi and
               Andrew B. Nobel},
  title     = {Significance-based community detection in weighted networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {188:1--188:48},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-377.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PalowitchBN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PapanikolaouFRT17,
  author    = {Yannis Papanikolaou and
               James R. Foulds and
               Timothy N. Rubin and
               Grigorios Tsoumakas},
  title     = {Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter
               Estimators for {LDA}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {62:1--62:58},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-526.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PapanikolaouFRT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PapyanRE17,
  author    = {Vardan Papyan and
               Yaniv Romano and
               Michael Elad},
  title     = {Convolutional Neural Networks Analyzed via Convolutional Sparse Coding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {83:1--83:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-505.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PapyanRE17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkK17,
  author    = {Young Woong Park and
               Diego Klabjan},
  title     = {Bayesian Network Learning via Topological Order},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {99:1--99:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-033.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParkK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkR17,
  author    = {Gunwoong Park and
               Garvesh Raskutti},
  title     = {Learning Quadratic Variance Function {(QVF)} {DAG} Models via OverDispersion
               Scoring {(ODS)}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {224:1--224:44},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-243.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParkR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PatrascuN17,
  author    = {Andrei Patrascu and
               Ion Necoara},
  title     = {Nonasymptotic convergence of stochastic proximal point methods for
               constrained convex optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {198:1--198:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-347.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PatrascuN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PedregosaBG17,
  author    = {Fabian Pedregosa and
               Francis R. Bach and
               Alexandre Gramfort},
  title     = {On the Consistency of Ordinal Regression Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {55:1--55:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-495.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PedregosaBG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PerkovicTKM17,
  author    = {Emilija Perkovic and
               Johannes Textor and
               Markus Kalisch and
               Marloes H. Maathuis},
  title     = {Complete Graphical Characterization and Construction of Adjustment
               Sets in Markov Equivalence Classes of Ancestral Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {220:1--220:62},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-319.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PerkovicTKM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PerroneJST17,
  author    = {Valerio Perrone and
               Paul A. Jenkins and
               Dario Span{\`{o}} and
               Yee Whye Teh},
  title     = {Poisson Random Fields for Dynamic Feature Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {127:1--127:45},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-541.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PerroneJST17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PintoF17,
  author    = {Jervis Pinto and
               Alan Fern},
  title     = {Learning Partial Policies to Speedup {MDP} Tree Search via Reduction
               to {I.I.D.} Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {65:1--65:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-251.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PintoF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Popovici17,
  author    = {Elena Popovici},
  title     = {Bridging Supervised Learning and Test-Based Co-optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {38:1--38:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-223.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Popovici17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PriceS17,
  author    = {Bradley S. Price and
               Ben Sherwood},
  title     = {A Cluster Elastic Net for Multivariate Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {232:1--232:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-445.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PriceS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ProbstB17,
  author    = {Philipp Probst and
               Anne{-}Laure Boulesteix},
  title     = {To Tune or Not to Tune the Number of Trees in Random Forest},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {181:1--181:18},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-269.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ProbstB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Raff17,
  author    = {Edward Raff},
  title     = {{JSAT:} Java Statistical Analysis Tool, a Library for Machine Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {23:1--23:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-131.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Raff17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RayNSS17,
  author    = {Avik Ray and
               Joe Neeman and
               Sujay Sanghavi and
               Sanjay Shakkottai},
  title     = {The Search Problem in Mixture Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {206:1--206:61},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-483.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RayNSS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RaymondR17,
  author    = {Jack Raymond and
               Federico Ricci{-}Tersenghi},
  title     = {Improving Variational Methods via Pairwise Linear Response Identities},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {6:1--6:36},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-070.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RaymondR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RooyenW17,
  author    = {Brendan van Rooyen and
               Robert C. Williamson},
  title     = {A Theory of Learning with Corrupted Labels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {228:1--228:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-315.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RooyenW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RoyP17,
  author    = {Aurko Roy and
               Sebastian Pokutta},
  title     = {Hierarchical Clustering via Spreading Metrics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {88:1--88:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-081.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RoyP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SabatoH17,
  author    = {Sivan Sabato and
               Tom Hess},
  title     = {Interactive Algorithms: Pool, Stream and Precognitive Stream},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {229:1--229:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-424.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SabatoH17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Sadeghi17,
  author    = {Kayvan Sadeghi},
  title     = {Faithfulness of Probability Distributions and Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {148:1--148:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-275.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Sadeghi17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SaeediKMG17,
  author    = {Ardavan Saeedi and
               Tejas D. Kulkarni and
               Vikash K. Mansinghka and
               Samuel J. Gershman},
  title     = {Variational Particle Approximations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {69:1--69:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-615.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SaeediKMG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SasakiKHNS17,
  author    = {Hiroaki Sasaki and
               Takafumi Kanamori and
               Aapo Hyv{\"{a}}rinen and
               Gang Niu and
               Masashi Sugiyama},
  title     = {Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation
               of Density-Derivative-Ratios},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {180:1--180:47},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-380.html},
  timestamp = {Tue, 01 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SasakiKHNS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SchirattiACD17,
  author    = {Jean{-}Baptiste Schiratti and
               St{\'{e}}phanie Allassonni{\`{e}}re and
               Olivier Colliot and
               Stanley Durrleman},
  title     = {A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from
               Repeated Manifold-Valued Observations},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {133:1--133:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-197.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SchirattiACD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SchmittS17,
  author    = {Maximilian Schmitt and
               Bj{\"{o}}rn W. Schuller},
  title     = {openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words
               Toolkit},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {96:1--96:5},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-113.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SchmittS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Schreiber17,
  author    = {Jacob Schreiber},
  title     = {pomegranate: Fast and Flexible Probabilistic Modeling in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {164:1--164:6},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-636.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Schreiber17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SerraM17,
  author    = {Paulo Serra and
               Michel Mandjes},
  title     = {Dimension Estimation Using Random Connection Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {138:1--138:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-232.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SerraM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahM17,
  author    = {Rajen Dinesh Shah and
               Nicolai Meinshausen},
  title     = {On {\textdollar}b{\textdollar}-bit Min-wise Hashing for Large-scale
               Regression and Classification with Sparse Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {178:1--178:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-587.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahW17,
  author    = {Nihar B. Shah and
               Martin J. Wainwright},
  title     = {Simple, Robust and Optimal Ranking from Pairwise Comparisons},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {199:1--199:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-206.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shamir17,
  author    = {Ohad Shamir},
  title     = {An Optimal Algorithm for Bandit and Zero-Order Convex Optimization
               with Two-Point Feedback},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {52:1--52:11},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-632.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Shamir17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShangC17,
  author    = {Zuofeng Shang and
               Guang Cheng},
  title     = {Computational Limits of {A} Distributed Algorithm for Smoothing Spline},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {108:1--108:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-289.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShangC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShenL17,
  author    = {Jie Shen and
               Ping Li},
  title     = {A Tight Bound of Hard Thresholding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {208:1--208:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-299.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShenL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SheriffC17,
  author    = {Mohammed Rayyan Sheriff and
               Debasish Chatterjee},
  title     = {Optimal Dictionary for Least Squares Representation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {107:1--107:28},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-046.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SheriffC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShiZ17,
  author    = {Tianlin Shi and
               Jun Zhu},
  title     = {Online Bayesian Passive-Aggressive Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {33:1--33:39},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-188.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShiZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SiHD17,
  author    = {Si Si and
               Cho{-}Jui Hsieh and
               Inderjit S. Dhillon},
  title     = {Memory Efficient Kernel Approximation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {20:1--20:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-025.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SiHD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SilvaS17,
  author    = {Ricardo Silva and
               Shohei Shimizu},
  title     = {Learning Instrumental Variables with Structural and Non-Gaussianity
               Assumptions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {120:1--120:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-014.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SilvaS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SingerKM17,
  author    = {Marco Singer and
               Tatyana Krivobokova and
               Axel Munk},
  title     = {Kernel Partial Least Squares for Stationary Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {123:1--123:41},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-306.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SingerKM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SmithFMTJJ17,
  author    = {Virginia Smith and
               Simone Forte and
               Chenxin Ma and
               Martin Tak{\'{a}}c and
               Michael I. Jordan and
               Martin Jaggi},
  title     = {CoCoA: {A} General Framework for Communication-Efficient Distributed
               Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {230:1--230:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-512.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SmithFMTJJ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SouratiALED17,
  author    = {Jamshid Sourati and
               Murat Ak{\c{c}}akaya and
               Todd K. Leen and
               Deniz Erdogmus and
               Jennifer G. Dy},
  title     = {Asymptotic Analysis of Objectives Based on Fisher Information in Active
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {34:1--34:41},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-104.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SouratiALED17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SriperumbudurFG17,
  author    = {Bharath K. Sriperumbudur and
               Kenji Fukumizu and
               Arthur Gretton and
               Aapo Hyv{\"{a}}rinen and
               Revant Kumar},
  title     = {Density Estimation in Infinite Dimensional Exponential Families},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {57:1--57:59},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-011.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SriperumbudurFG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/StuckyG17,
  author    = {Benjamin Stucky and
               Sara A. van de Geer},
  title     = {Sharp Oracle Inequalities for Square Root Regularization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {67:1--67:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-482.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/StuckyG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SunCZ17,
  author    = {Hui Sun and
               Bruce A. Craig and
               Lingsong Zhang},
  title     = {Angle-based Multicategory Distance-weighted {SVM}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {85:1--85:21},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-003.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SunCZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SunL17,
  author    = {Will Wei Sun and
               Lexin Li},
  title     = {{STORE:} Sparse Tensor Response Regression and Neuroimaging Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {135:1--135:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-203.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SunL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SzaboS17,
  author    = {Zolt{\'{a}}n Szab{\'{o}} and
               Bharath K. Sriperumbudur},
  title     = {Characteristic and Universal Tensor Product Kernels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {233:1--233:29},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-492.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SzaboS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TakenouchiK17,
  author    = {Takashi Takenouchi and
               Takafumi Kanamori},
  title     = {Statistical Inference with Unnormalized Discrete Models and Localized
               Homogeneous Divergences},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {56:1--56:26},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-596.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TakenouchiK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TarzanaghM17,
  author    = {Davoud Ataee Tarzanagh and
               George Michailidis},
  title     = {Estimation of Graphical Models through Structured Norm Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {209:1--209:48},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-486.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TarzanaghM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Tasche17,
  author    = {Dirk Tasche},
  title     = {Fisher Consistency for Prior Probability Shift},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {95:1--95:32},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-048.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Tasche17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TikkaK17,
  author    = {Santtu Tikka and
               Juha Karvanen},
  title     = {Simplifying Probabilistic Expressions in Causal Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {36:1--36:30},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-166.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TikkaK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TikkaK17a,
  author    = {Santtu Tikka and
               Juha Karvanen},
  title     = {Enhancing Identification of Causal Effects by Pruning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {194:1--194:23},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-563.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TikkaK17a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TolstikhinSM17,
  author    = {Ilya O. Tolstikhin and
               Bharath K. Sriperumbudur and
               Krikamol Muandet},
  title     = {Minimax Estimation of Kernel Mean Embeddings},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {86:1--86:47},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-032.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TolstikhinSM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ToshD17,
  author    = {Christopher Tosh and
               Sanjoy Dasgupta},
  title     = {Maximum Likelihood Estimation for Mixtures of Spherical Gaussians
               is NP-hard},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {175:1--175:11},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-657.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ToshD17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TranDGM17,
  author    = {An C. Tran and
               Jens Dietrich and
               Hans W. Guesgen and
               Stephen Marsland},
  title     = {Parallel Symmetric Class Expression Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {64:1--64:34},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-317.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TranDGM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TrouillonDGWRB17,
  author    = {Th{\'{e}}o Trouillon and
               Christopher R. Dance and
               {\'{E}}ric Gaussier and
               Johannes Welbl and
               Sebastian Riedel and
               Guillaume Bouchard},
  title     = {Knowledge Graph Completion via Complex Tensor Factorization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {130:1--130:38},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-563.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TrouillonDGWRB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Vaughan17,
  author    = {Jennifer Wortman Vaughan},
  title     = {Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine
               Learning Research},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {193:1--193:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-234.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Vaughan17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VinogradskaBNP17,
  author    = {Julia Vinogradska and
               Bastian Bischoff and
               Duy Nguyen{-}Tuong and
               Jan Peters},
  title     = {Stability of Controllers for Gaussian Process Dynamics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {100:1--100:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-590.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VinogradskaBNP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VitelliSCFA17,
  author    = {Valeria Vitelli and
               {\O}ystein S{\o}rensen and
               Marta Crispino and
               Arnoldo Frigessi and
               Elja Arjas},
  title     = {Probabilistic preference learning with the Mallows rank model},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {158:1--158:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-481.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VitelliSCFA17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VuralG17,
  author    = {Elif Vural and
               Christine Guillemot},
  title     = {A Study of the Classification of Low-Dimensional Data with Supervised
               Manifold Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {157:1--157:55},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-373.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VuralG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WainerC17,
  author    = {Jacques Wainer and
               Gavin C. Cawley},
  title     = {Empirical Evaluation of Resampling Procedures for Optimising {SVM}
               Hyperparameters},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {15:1--15:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-174.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WainerC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangGM17,
  author    = {Shusen Wang and
               Alex Gittens and
               Michael W. Mahoney},
  title     = {Sketched Ridge Regression: Optimization Perspective, Statistical Perspective,
               and Model Averaging},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {218:1--218:50},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-313.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangGM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLF17,
  author    = {Mengdi Wang and
               Ji Liu and
               Ethan X. Fang},
  title     = {Accelerating Stochastic Composition Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {105:1--105:23},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-504.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangRDLKM17,
  author    = {Tong Wang and
               Cynthia Rudin and
               Finale Doshi{-}Velez and
               Yimin Liu and
               Erica Klampfl and
               Perry MacNeille},
  title     = {A Bayesian Framework for Learning Rule Sets for Interpretable Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {70:1--70:37},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-003.html},
  timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangRDLKM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangS17,
  author    = {Yining Wang and
               Aarti Singh},
  title     = {Provably Correct Algorithms for Matrix Column Subset Selection with
               Selectively Sampled Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {156:1--156:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-233.html},
  timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangYS17,
  author    = {Yining Wang and
               Adams Wei Yu and
               Aarti Singh},
  title     = {On Computationally Tractable Selection of Experiments in Measurement-Constrained
               Regression Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {143:1--143:41},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-175.html},
  timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangYS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WilsonPBN17,
  author    = {James D. Wilson and
               John Palowitch and
               Shankar Bhamidi and
               Andrew B. Nobel},
  title     = {Community Extraction in Multilayer Networks with Heterogeneous Community
               Structure},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {149:1--149:49},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-645.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WilsonPBN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WirthANF17,
  author    = {Christian Wirth and
               Riad Akrour and
               Gerhard Neumann and
               Johannes F{\"{u}}rnkranz},
  title     = {A Survey of Preference-Based Reinforcement Learning Methods},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {136:1--136:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-634.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WirthANF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WongL17,
  author    = {Raymond K. W. Wong and
               Thomas C. M. Lee},
  title     = {Matrix Completion with Noisy Entries and Outliers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {147:1--147:25},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-076.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WongL17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WuY17,
  author    = {Siqi Wu and
               Bin Yu},
  title     = {Local Identifiability of {\textdollar}{\textbackslash}ell{\_}1{\textdollar}-minimization
               Dictionary Learning: a Sufficient and Almost Necessary Condition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {168:1--168:56},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-119.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WuY17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WynerOBM17,
  author    = {Abraham J. Wyner and
               Matthew Olson and
               Justin Bleich and
               David Mease},
  title     = {Explaining the Success of AdaBoost and Random Forests as Interpolating
               Classifiers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {48:1--48:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-240.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WynerOBM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangBW17,
  author    = {Fanny Yang and
               Sivaraman Balakrishnan and
               Martin J. Wainwright},
  title     = {Statistical and Computational Guarantees for the Baum-Welch Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {125:1--125:53},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-093.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangBW17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangCRM17,
  author    = {Jiyan Yang and
               Yin{-}Lam Chow and
               Christopher R{\'{e}} and
               Michael W. Mahoney},
  title     = {Weighted {SGD} for {\textdollar}{\textbackslash}ell{\_}p{\textdollar}
               Regression with Randomized Preconditioning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {211:1--211:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-044.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangCRM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YaoK17,
  author    = {Quanming Yao and
               James T. Kwok},
  title     = {Efficient Learning with a Family of Nonconvex Regularizers by Redistributing
               Nonconvexity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {179:1--179:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-078.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YaoK17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuB17,
  author    = {Guo Yu and
               Jacob Bien},
  title     = {Learning Local Dependence In Ordered Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {42:1--42:60},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-198.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuB17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuBKGC17,
  author    = {Felix X. Yu and
               Aditya Bhaskara and
               Sanjiv Kumar and
               Yunchao Gong and
               Shih{-}Fu Chang},
  title     = {On Binary Embedding using Circulant Matrices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {150:1--150:30},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/15-619.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuBKGC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuZS17,
  author    = {Yaoliang Yu and
               Xinhua Zhang and
               Dale Schuurmans},
  title     = {Generalized Conditional Gradient for Sparse Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {144:1--144:46},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-348.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuZS17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuanLZ17,
  author    = {Xiao{-}Tong Yuan and
               Ping Li and
               Tong Zhang},
  title     = {Gradient Hard Thresholding Pursuit},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {166:1--166:43},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/14-415.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuanLZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZarezadeDURG17,
  author    = {Ali Zarezade and
               Abir De and
               Utkarsh Upadhyay and
               Hamid R. Rabiee and
               Manuel Gomez{-}Rodriguez},
  title     = {Steering Social Activity: {A} Stochastic Optimal Control Point Of
               View},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {205:1--205:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-416.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZarezadeDURG17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangLC17,
  author    = {Huishuai Zhang and
               Yingbin Liang and
               Yuejie Chi},
  title     = {A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow
               and Incremental Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {141:1--141:35},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-572.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangLC17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangX17,
  author    = {Yuchen Zhang and
               Lin Xiao},
  title     = {Stochastic Primal-Dual Coordinate Method for Regularized Empirical
               Risk Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {84:1--84:42},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-568.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangX17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangZ17,
  author    = {Quan Zhang and
               Mingyuan Zhou},
  title     = {Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {204:1--204:33},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/17-409.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhengWXXZ17,
  author    = {Shun Zheng and
               Jialei Wang and
               Fen Xia and
               Wei Xu and
               Tong Zhang},
  title     = {A General Distributed Dual Coordinate Optimization Framework for Regularized
               Loss Minimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {18},
  pages     = {115:1--115:52},
  year      = {2017},
  url       = {http://jmlr.org/papers/v18/16-463.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhengWXXZ17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AbdallahK16,
  author    = {Sherief Abdallah and
               Michael Kaisers},
  title     = {Addressing Environment Non-Stationarity by Repeating Q-learning Updates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {46:1--46:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-037.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AbdallahK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AckermanB16,
  author    = {Margareta Ackerman and
               Shai Ben{-}David},
  title     = {A Characterization of Linkage-Based Hierarchical Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {232:1--232:17},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/11-198.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AckermanB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AdamMKV16,
  author    = {Stavros P. Adam and
               George D. Magoulas and
               Dimitrios A. Karras and
               Michael N. Vrahatis},
  title     = {Bounding the Search Space for Global Optimization of Neural Networks
               Learning Error: An Interval Analysis Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {169:1--169:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-350.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AdamMKV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Adamczak16,
  author    = {Radoslaw Adamczak},
  title     = {A Note on the Sample Complexity of the Er-SpUD Algorithm by Spielman,
               Wang and Wright for Exact Recovery of Sparsely Used Dictionaries},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {177:1--177:18},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-047.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Adamczak16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AdamskiyKCV16,
  author    = {Dmitry Adamskiy and
               Wouter M. Koolen and
               Alexey V. Chernov and
               Vladimir Vovk},
  title     = {A Closer Look at Adaptive Regret},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {23:1--23:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-533.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AdamskiyKCV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AdiK16,
  author    = {Yossi Adi and
               Joseph Keshet},
  title     = {StructED: Risk Minimization in Structured Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {64:1--64:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-531.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AdiK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AhmedTBKDB16,
  author    = {Bilal Ahmed and
               Thomas Thesen and
               Karen E. Blackmon and
               Ruben Kuzniecky and
               Orrin Devinsky and
               Carla E. Brodley},
  title     = {Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional
               Random Fields For Detecting Cortical Lesions In MRI-Negative Patients},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {112:1--112:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-428.html},
  timestamp = {Sun, 11 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AhmedTBKDB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlquierRC16,
  author    = {Pierre Alquier and
               James Ridgway and
               Nicolas Chopin},
  title     = {On the properties of variational approximations of Gibbs posteriors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {239:1--239:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-290.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AlquierRC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AndresenS16,
  author    = {Andreas Andresen and
               Vladimir G. Spokoiny},
  title     = {Convergence of an Alternating Maximization Procedure},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {63:1--63:53},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-392.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AndresenS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Arias-CastroMP16,
  author    = {Ery Arias{-}Castro and
               David Mason and
               Bruno Pelletier},
  title     = {On the Estimation of the Gradient Lines of a Density and the Consistency
               of the Mean-Shift Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {43:1--43:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/ariascastro16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Arias-CastroMP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Arias-CastroMP16a,
  author    = {Ery Arias{-}Castro and
               David Mason and
               Bruno Pelletier},
  title     = {{ERRATA:} On the Estimation of the Gradient Lines of a Density and
               the Consistency of the Mean-Shift Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {206:1--206:4},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-527.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Arias-CastroMP16a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArjevaniSS16,
  author    = {Yossi Arjevani and
               Shai Shalev{-}Shwartz and
               Ohad Shamir},
  title     = {On Lower and Upper Bounds in Smooth and Strongly Convex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {126:1--126:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-106.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArjevaniSS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArlotL16,
  author    = {Sylvain Arlot and
               Matthieu Lerasle},
  title     = {Choice of {V} for V-Fold Cross-Validation in Least-Squares Density
               Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {208:1--208:50},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-296.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ArlotL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AsbehL16,
  author    = {Nuaman Asbeh and
               Boaz Lerner},
  title     = {Learning Latent Variable Models by Pairwise Cluster Comparison: Part
               {I} - Theory and Overview},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {224:1--224:52},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-401.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AsbehL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AsbehL16a,
  author    = {Nuaman Asbeh and
               Boaz Lerner},
  title     = {Learning Latent Variable Models by Pairwise Cluster Comparison: Part
               {II} - Algorithm and Evaluation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {233:1--233:45},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-402.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AsbehL16a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AvronSYM16,
  author    = {Haim Avron and
               Vikas Sindhwani and
               Jiyan Yang and
               Michael W. Mahoney},
  title     = {Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {120:1--120:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-538.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/AvronSYM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BabbarPGAA16,
  author    = {Rohit Babbar and
               Ioannis Partalas and
               {\'{E}}ric Gaussier and
               Massih{-}Reza Amini and
               C{\'{e}}cile Amblard},
  title     = {Learning Taxonomy Adaptation in Large-scale Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {98:1--98:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-207.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BabbarPGAA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BaktashmotlaghH16,
  author    = {Mahsa Baktashmotlagh and
               Mehrtash Tafazzoli Harandi and
               Mathieu Salzmann},
  title     = {Distribution-Matching Embedding for Visual Domain Adaptation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {108:1--108:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-207.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BaktashmotlaghH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BarberS16,
  author    = {Rina Foygel Barber and
               Emil Y. Sidky},
  title     = {{MOCCA:} Mirrored Convex/Concave Optimization for Nonconvex Composite
               Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {144:1--144:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-583.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BarberS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BarretoPP16,
  author    = {Andr{\'{e}} da Motta Salles Barreto and
               Doina Precup and
               Joelle Pineau},
  title     = {Practical Kernel-Based Reinforcement Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {67:1--67:70},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-134.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BarretoPP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bayer16,
  author    = {Immanuel Bayer},
  title     = {fastFM: {A} Library for Factorization Machines},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {184:1--184:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-355.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bayer16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BedoO16,
  author    = {Justin Bedo and
               Cheng Soon Ong},
  title     = {Multivariate Spearman's rho for Aggregating Ranks Using Copulas},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {201:1--201:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-625.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BedoO16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BenavoliCM16,
  author    = {Alessio Benavoli and
               Giorgio Corani and
               Francesca Mangili},
  title     = {Should We Really Use Post-Hoc Tests Based on Mean-Ranks?},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {5:1--5:10},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/benavoli16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BenavoliCM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Bhaskar16,
  author    = {Sonia A. Bhaskar},
  title     = {Probabilistic Low-Rank Matrix Completion from Quantized Measurements},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {60:1--60:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-273.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Bhaskar16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BiauBC16,
  author    = {G{\'{e}}rard Biau and
               Kevin Bleakley and
               Beno{\^{\i}}t Cadre},
  title     = {The Statistical Performance of Collaborative Inference},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {62:1--62:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-346.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BiauBC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BischlLKSRSCJ16,
  author    = {Bernd Bischl and
               Michel Lang and
               Lars Kotthoff and
               Julia Schiffner and
               Jakob Richter and
               Erich Studerus and
               Giuseppe Casalicchio and
               Zachary M. Jones},
  title     = {mlr: Machine Learning in {R}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {170:1--170:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-066.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BischlLKSRSCJ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BlaserF16,
  author    = {Rico Blaser and
               Piotr Fryzlewicz},
  title     = {Random Rotation Ensembles},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {4:1--4:26},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/blaser16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BlaserF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BrouardSd16,
  author    = {C{\'{e}}line Brouard and
               Marie Szafranski and
               Florence d'Alch{\'{e}}{-}Buc},
  title     = {Input Output Kernel Regression: Supervised and Semi-Supervised Structured
               Output Prediction with Operator-Valued Kernels},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {176:1--176:48},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-602.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BrouardSd16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurgG16,
  author    = {Gerrit J. J. van den Burg and
               Patrick J. F. Groenen},
  title     = {GenSVM: {A} Generalized Multiclass Support Vector Machine},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {225:1--225:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-526.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/BurgG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CastroGL16,
  author    = {Yohann de Castro and
               Elisabeth Gassiat and
               Claire Lacour},
  title     = {Minimax Adaptive Estimation of Nonparametric Hidden Markov Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {111:1--111:43},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-381.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CastroGL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenBFEFW16,
  author    = {Yutian Chen and
               Luke Bornn and
               Nando de Freitas and
               Mareija Eskelin and
               Jing Fang and
               Max Welling},
  title     = {Herded Gibbs Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {10:1--10:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/chen16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenBFEFW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenGZ16,
  author    = {Xi Chen and
               Adityanand Guntuboyina and
               Yuchen Zhang},
  title     = {On Bayes Risk Lower Bounds},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {219:1--219:58},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-185.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenGZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenJL16,
  author    = {Xi Chen and
               Kevin Jiao and
               Qihang Lin},
  title     = {Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {217:1--217:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-066.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenJL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenWYW16,
  author    = {Wei Chen and
               Yajun Wang and
               Yang Yuan and
               Qinshi Wang},
  title     = {Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically
               Triggered Arms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {50:1--50:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-298.html},
  timestamp = {Wed, 18 Dec 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenWYW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenX16,
  author    = {Yudong Chen and
               Jiaming Xu},
  title     = {Statistical-Computational Tradeoffs in Planted Problems and Submatrix
               Localization with a Growing Number of Clusters and Submatrices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {27:1--27:57},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-330.html},
  timestamp = {Tue, 10 Sep 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChenX16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChichignoudLW16,
  author    = {Michael Chichignoud and
               Johannes Lederer and
               Martin J. Wainwright},
  title     = {A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality
               Guarantees},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {231:1--231:20},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-605.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChichignoudLW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChinYYZJL16,
  author    = {Wei{-}Sheng Chin and
               Bo{-}Wen Yuan and
               Meng{-}Yuan Yang and
               Yong Zhuang and
               Yu{-}Chin Juan and
               Chih{-}Jen Lin},
  title     = {{LIBMF:} {A} Library for Parallel Matrix Factorization in Shared-memory
               Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {86:1--86:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-471.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ChinYYZJL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ClemenconCB16,
  author    = {St{\'{e}}phan Cl{\'{e}}men{\c{c}}on and
               Igor Colin and
               Aur{\'{e}}lien Bellet},
  title     = {Scaling-up Empirical Risk Minimization: Optimization of Incomplete
               {\textdollar}U{\textdollar}-statistics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {76:1--76:36},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-012.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ClemenconCB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CollierD16,
  author    = {Olivier Collier and
               Arnak S. Dalalyan},
  title     = {Minimax Rates in Permutation Estimation for Feature Matching},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {6:1--6:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/collier16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CollierD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CouilletWSA16,
  author    = {Romain Couillet and
               Gilles Wainrib and
               Harry Sevi and
               Hafiz Tiomoko Ali},
  title     = {The Asymptotic Performance of Linear Echo State Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {178:1--178:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-076.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/CouilletWSA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DaiTG16,
  author    = {Wenlin Dai and
               Tiejun Tong and
               Marc G. Genton},
  title     = {Optimal Estimation of Derivatives in Nonparametric Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {164:1--164:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-640.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DaiTG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DamianouTL16,
  author    = {Andreas C. Damianou and
               Michalis K. Titsias and
               Neil D. Lawrence},
  title     = {Variational Inference for Latent Variables and Uncertain Inputs in
               Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {42:1--42:62},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/damianou16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DamianouTL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DanielNKP16,
  author    = {Christian Daniel and
               Gerhard Neumann and
               Oliver Kroemer and
               Jan Peters},
  title     = {Hierarchical Relative Entropy Policy Search},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {93:1--93:50},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-188.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DanielNKP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DenisGH16,
  author    = {Fran{\c{c}}ois Denis and
               Mattias Gybels and
               Amaury Habrard},
  title     = {Dimension-free Concentration Bounds on Hankel Matrices for Spectral
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {31:1--31:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-501.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DenisGH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DeshpandeM16,
  author    = {Yash Deshpande and
               Andrea Montanari},
  title     = {Sparse {PCA} via Covariance Thresholding},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {141:1--141:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-160.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DeshpandeM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DiamondB16,
  author    = {Steven Diamond and
               Stephen P. Boyd},
  title     = {{CVXPY:} {A} Python-Embedded Modeling Language for Convex Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {83:1--83:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-408.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DiamondB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DoganGI16,
  author    = {{\"{U}}r{\"{u}}n Dogan and
               Tobias Glasmachers and
               Christian Igel},
  title     = {A Unified View on Multi-class Support Vector Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {45:1--45:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/11-229.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DoganGI16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DoranR16,
  author    = {Gary Doran and
               Soumya Ray},
  title     = {Multiple-Instance Learning from Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {128:1--128:50},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-171.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DoranR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuttaSG16,
  author    = {Subhajit Dutta and
               Soham Sarkar and
               Anil Kumar Ghosh},
  title     = {Multi-scale Classification using Localized Spatial Depth},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {218:1--218:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-113.html},
  timestamp = {Fri, 09 Oct 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/DuttaSG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElibolNLJHD16,
  author    = {Huseyin Melih Elibol and
               Vincent Nguyen and
               Scott W. Linderman and
               Matthew J. Johnson and
               Amna Hashmi and
               Finale Doshi{-}Velez},
  title     = {Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum
               Disorders},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {133:1--133:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-431.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElibolNLJHD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ElishaD16,
  author    = {Oren Elisha and
               Shai Dekel},
  title     = {Wavelet decompositions of Random Forests - smoothness analysis, sparse
               approximation and applications},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {198:1--198:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-203.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ElishaD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Elser16,
  author    = {Veit Elser},
  title     = {A Network That Learns Strassen Multiplication},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {116:1--116:13},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-074.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Elser16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Erdogdu16,
  author    = {Murat A. Erdogdu},
  title     = {Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {216:1--216:52},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-062.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Erdogdu16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Escalante-BW16,
  author    = {Alberto N. Escalante{-}B. and
               Laurenz Wiskott},
  title     = {Theoretical Analysis of the Optimal Free Responses of Graph-Based
               {SFA} for the Design of Training Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {157:1--157:36},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-311.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Escalante-BW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/EscaleraAG16,
  author    = {Sergio Escalera and
               Vassilis Athitsos and
               Isabelle Guyon},
  title     = {Challenges in multimodal gesture recognition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {72:1--72:54},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-468.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/EscaleraAG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FanWYPLOPB16,
  author    = {Jun Fan and
               Yirong Wu and
               Ming Yuan and
               David Page and
               Jie Liu and
               Irene M. Ong and
               Peggy L. Peissig and
               Elizabeth S. Burnside},
  title     = {Structure-Leveraged Methods in Breast Cancer Risk Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {85:1--85:15},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-444.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FanWYPLOPB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FanZ16,
  author    = {Jianqing Fan and
               Wen{-}Xin Zhou},
  title     = {Guarding against Spurious Discoveries in High Dimensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {203:1--203:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-068.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FanZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FarahmandGSM16,
  author    = {Amir{-}massoud Farahmand and
               Mohammad Ghavamzadeh and
               Csaba Szepesv{\'{a}}ri and
               Shie Mannor},
  title     = {Regularized Policy Iteration with Nonparametric Function Spaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {139:1--139:66},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-016.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FarahmandGSM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FogeldV16,
  author    = {Fajwel Fogel and
               Alexandre d'Aspremont and
               Milan Vojnovic},
  title     = {Spectral Ranking using Seriation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {88:1--88:45},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-035.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FogeldV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FurmstonLB16,
  author    = {Thomas Furmston and
               Guy Lever and
               David Barber},
  title     = {Approximate Newton Methods for Policy Search in Markov Decision Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {227:1--227:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-414.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/FurmstonLB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaninUAGLLML16,
  author    = {Yaroslav Ganin and
               Evgeniya Ustinova and
               Hana Ajakan and
               Pascal Germain and
               Hugo Larochelle and
               Fran{\c{c}}ois Laviolette and
               Mario Marchand and
               Victor S. Lempitsky},
  title     = {Domain-Adversarial Training of Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {59:1--59:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-239.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaninUAGLLML16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GaoLMZ16,
  author    = {Chao Gao and
               Yu Lu and
               Zongming Ma and
               Harrison H. Zhou},
  title     = {Optimal Estimation and Completion of Matrices with Biclustering Structures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {161:1--161:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-617.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GaoLMZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GhavamzadehEV16,
  author    = {Mohammad Ghavamzadeh and
               Yaakov Engel and
               Michal Valko},
  title     = {Bayesian Policy Gradient and Actor-Critic Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {66:1--66:53},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/10-245.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GhavamzadehEV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GillbergMPKSAHJ16,
  author    = {Jussi Gillberg and
               Pekka Marttinen and
               Matti Pirinen and
               Antti J. Kangas and
               Pasi Soininen and
               Mehreen Ali and
               Aki S. Havulinna and
               Marjo{-}Riitta J{\"{a}}rvelin and
               Mika Ala{-}Korpela and
               Samuel Kaski},
  title     = {Multiple Output Regression with Latent Noise},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {122:1--122:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-436.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GillbergMPKSAHJ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GiscardCTJ16,
  author    = {Pierre{-}Louis Giscard and
               Z. Choo and
               S. J. Thwaite and
               D. Jaksch},
  title     = {Exact Inference on Gaussian Graphical Models of Arbitrary Topology
               using Path-Sums},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {71:1--71:19},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-445.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GiscardCTJ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GittensM16,
  author    = {Alex Gittens and
               Michael W. Mahoney},
  title     = {Revisiting the Nystrom Method for Improved Large-scale Machine Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {117:1--117:65},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/gittens16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GittensM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Gomez-Rodriguez16,
  author    = {Manuel Gomez{-}Rodriguez and
               Le Song and
               Hadi Daneshmand and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Estimating Diffusion Networks: Recovery Conditions, Sample Complexity
               and Soft-thresholding Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {90:1--90:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-430.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Gomez-Rodriguez16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GoncalvesZB16,
  author    = {Andr{\'{e}} R. Gon{\c{c}}alves and
               Fernando J. Von Zuben and
               Arindam Banerjee},
  title     = {Multi-task Sparse Structure Learning with Gaussian Copula Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {33:1--33:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-215.html},
  timestamp = {Wed, 27 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/GoncalvesZB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GonenRES16,
  author    = {Alon Gonen and
               Dan Rosenbaum and
               Yonina C. Eldar and
               Shai Shalev{-}Shwartz},
  title     = {Subspace Learning with Partial Information},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {52:1--52:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-443.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GonenRES16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GoudieM16,
  author    = {Robert J. B. Goudie and
               Sach Mukherjee},
  title     = {A Gibbs Sampler for Learning DAGs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {30:1--30:39},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-486.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GoudieM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuhaniyogiD16,
  author    = {Rajarshi Guhaniyogi and
               David B. Dunson},
  title     = {Compressed Gaussian Process for Manifold Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {69:1--69:26},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-230.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuhaniyogiD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GulcehreB16,
  author    = {{\c{C}}aglar G{\"{u}}l{\c{c}}ehre and
               Yoshua Bengio},
  title     = {Knowledge Matters: Importance of Prior Information for Optimization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {8:1--8:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/gulchere16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GulcehreB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoFZ16,
  author    = {Xin Guo and
               Jun Fan and
               Ding{-}Xuan Zhou},
  title     = {Sparsity and Error Analysis of Empirical Feature-Based Regularization
               Schemes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {89:1--89:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/11-207.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoFZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoS16,
  author    = {Zijian Guo and
               Dylan S. Small},
  title     = {Control Function Instrumental Variable Estimation of Nonlinear Causal
               Effect Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {100:1--100:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-379.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuoS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuptaCPVCMME16,
  author    = {Maya R. Gupta and
               Andrew Cotter and
               Jan Pfeifer and
               Konstantin Voevodski and
               Kevin Robert Canini and
               Alexander Mangylov and
               Wojtek Moczydlowski and
               Alexander Van Esbroeck},
  title     = {Monotonic Calibrated Interpolated Look-Up Tables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {109:1--109:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-243.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GuptaCPVCMME16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GutmannC16,
  author    = {Michael U. Gutmann and
               Jukka Corander},
  title     = {Bayesian Optimization for Likelihood-Free Inference of Simulator-Based
               Statistical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {125:1--125:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-017.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/GutmannC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hanneke16,
  author    = {Steve Hanneke},
  title     = {The Optimal Sample Complexity of {PAC} Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {38:1--38:15},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-389.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hanneke16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hanneke16a,
  author    = {Steve Hanneke},
  title     = {Refined Error Bounds for Several Learning Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {135:1--135:55},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-655.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hanneke16a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HazanK16,
  author    = {Elad Hazan and
               Zohar S. Karnin},
  title     = {Volumetric Spanners: An Efficient Exploration Basis for Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {119:1--119:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/hazan16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HazanK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HazanSU16,
  author    = {Tamir Hazan and
               Alexander G. Schwing and
               Raquel Urtasun},
  title     = {Blending Learning and Inference in Conditional Random Fields},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {237:1--237:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-260.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HazanSU16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HeTW16,
  author    = {Ru He and
               Jin Tian and
               Huaiqing Wu},
  title     = {Structure Learning in Bayesian Networks of a Moderate Size by Efficient
               Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {101:1--101:54},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-497.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HeTW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HellerHKBG16,
  author    = {Ruth Heller and
               Yair Heller and
               Shachar Kaufman and
               Barak Brill and
               Malka Gorfine},
  title     = {Consistent Distribution-Free {\textdollar}K{\textdollar}-Sample and
               Independence Tests for Univariate Random Variables},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {29:1--29:54},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-441.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HellerHKBG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HenaoLLFC16,
  author    = {Ricardo Henao and
               James Lu and
               Joseph E. Lucas and
               Jeffrey M. Ferranti and
               Lawrence Carin},
  title     = {Electronic Health Record Analysis via Deep Poisson Factor Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {186:1--186:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-429.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HenaoLLFC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hernandez-Lobato16,
  author    = {Daniel Hern{\'{a}}ndez{-}Lobato and
               Pablo Morales{-}Mombiela and
               David Lopez{-}Paz and
               Alberto Su{\'{a}}rez},
  title     = {Non-linear Causal Inference using Gaussianity Measures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {28:1--28:39},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-375.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hernandez-Lobato16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Hernandez-Lobato16a,
  author    = {Jos{\'{e}} Miguel Hern{\'{a}}ndez{-}Lobato and
               Michael A. Gelbart and
               Ryan P. Adams and
               Matthew W. Hoffman and
               Zoubin Ghahramani},
  title     = {A General Framework for Constrained Bayesian Optimization using Information-based
               Search},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {160:1--160:53},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-616.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Hernandez-Lobato16a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoYX16,
  author    = {Qirong Ho and
               Junming Yin and
               Eric P. Xing},
  title     = {Latent Space Inference of Internet-Scale Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {78:1--78:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-142.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoYX16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HoffmanPTLGDS16,
  author    = {Judy Hoffman and
               Deepak Pathak and
               Eric Tzeng and
               Jonathan Long and
               Sergio Guadarrama and
               Trevor Darrell and
               Kate Saenko},
  title     = {Large Scale Visual Recognition through Adaptation using Joint Representation
               and Multiple Instance Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {142:1--142:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-223.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HoffmanPTLGDS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HsuS16,
  author    = {Daniel J. Hsu and
               Sivan Sabato},
  title     = {Loss Minimization and Parameter Estimation with Heavy Tails},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {18:1--18:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-273.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HsuS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HummelM16,
  author    = {Patrick Hummel and
               R. Preston McAfee},
  title     = {Machine Learning in an Auction Environment},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {197:1--197:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-109.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/HummelM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/IevaPT16,
  author    = {Francesca Ieva and
               Anna Maria Paganoni and
               Nicholas Tarabelloni},
  title     = {Covariance-based Clustering in Multivariate and Functional Data Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {143:1--143:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-568.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/IevaPT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/IvanoffPR16,
  author    = {St{\'{e}}phane Ivanoff and
               Franck Picard and
               Vincent Rivoirard},
  title     = {Adaptive Lasso and group-Lasso for functional Poisson regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {55:1--55:46},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-021.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/IvanoffPR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JohnsonOCN16,
  author    = {Jason K. Johnson and
               Diane Oyen and
               Michael Chertkov and
               Praneeth Netrapalli},
  title     = {Learning Planar Ising Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {215:1--215:26},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-579.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JohnsonOCN16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JosseW16,
  author    = {Julie Josse and
               Stefan Wager},
  title     = {Bootstrap-Based Regularization for Low-Rank Matrix Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {124:1--124:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-534.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/JosseW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Juba16,
  author    = {Brendan Juba},
  title     = {Integrated Common Sense Learning and Planning in POMDPs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {96:1--96:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-584.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Juba16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KadriDPCRA16,
  author    = {Hachem Kadri and
               Emmanuel Duflos and
               Philippe Preux and
               St{\'{e}}phane Canu and
               Alain Rakotomamonjy and
               Julien Audiffren},
  title     = {Operator-valued Kernels for Learning from Functional Response Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {20:1--20:54},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/11-315.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KadriDPCRA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KairouzOV16,
  author    = {Peter Kairouz and
               Sewoong Oh and
               Pramod Viswanath},
  title     = {Extremal Mechanisms for Local Differential Privacy},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {17:1--17:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-135.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KairouzOV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KaufmannCG16,
  author    = {Emilie Kaufmann and
               Olivier Capp{\'{e}} and
               Aur{\'{e}}lien Garivier},
  title     = {On the Complexity of Best-Arm Identification in Multi-Armed Bandit
               Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {1:1--1:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/kaufman16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KaufmannCG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhaleghiRMP16,
  author    = {Azadeh Khaleghi and
               Daniil Ryabko and
               J{\'{e}}r{\'{e}}mie Mary and
               Philippe Preux},
  title     = {Consistent Algorithms for Clustering Time Series},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {3:1--3:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/khaleghi16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KhaleghiRMP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhetanO16,
  author    = {Ashish Khetan and
               Sewoong Oh},
  title     = {Data-driven Rank Breaking for Efficient Rank Aggregation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {193:1--193:54},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-209.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KhetanO16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KlenskeH16,
  author    = {Edgar D. Klenske and
               Philipp Hennig},
  title     = {Dual Control for Approximate Bayesian Reinforcement Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {127:1--127:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-162.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KlenskeH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KongZL16,
  author    = {Yinfei Kong and
               Zemin Zheng and
               Jinchi Lv},
  title     = {The Constrained Dantzig Selector with Enhanced Consistency},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {123:1--123:22},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-513.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KongZL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KouwMKL16,
  author    = {Wouter M. Kouw and
               Laurens J. P. van der Maaten and
               Jesse H. Krijthe and
               Marco Loog},
  title     = {Feature-Level Domain Adaptation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {171:1--171:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-206.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KouwMKL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KpotufeBSK16,
  author    = {Samory Kpotufe and
               Abdeslam Boularias and
               Thomas Schultz and
               Kyoungok Kim},
  title     = {Gradients Weights improve Regression and Classification},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {22:1--22:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-351.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KpotufeBSK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KumarD16,
  author    = {M. Pawan Kumar and
               Puneet Kumar Dokania},
  title     = {Rounding-based Moves for Semi-Metric Labeling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {91:1--91:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-454.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KumarD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KwonP16,
  author    = {Joon Kwon and
               Vianney Perchet},
  title     = {Gains and Losses are Fundamentally Different in Regret Minimization:
               The Sparse Case},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {229:1--229:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-503.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/KwonP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LaarhovenM16,
  author    = {Twan van Laarhoven and
               Elena Marchiori},
  title     = {Local Network Community Detection with Continuous Optimization of
               Conductance and Weighted Kernel K-Means},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {147:1--147:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-043.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LaarhovenM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LapuschkinBMMS16,
  author    = {Sebastian Lapuschkin and
               Alexander Binder and
               Gr{\'{e}}goire Montavon and
               Klaus{-}Robert M{\"{u}}ller and
               Wojciech Samek},
  title     = {The {LRP} Toolbox for Artificial Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {114:1--114:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-618.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LapuschkinBMMS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LazaricGM16,
  author    = {Alessandro Lazaric and
               Mohammad Ghavamzadeh and
               R{\'{e}}mi Munos},
  title     = {Analysis of Classification-based Policy Iteration Algorithms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {19:1--19:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/10-364.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LazaricGM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeeKLSB16,
  author    = {Joonseok Lee and
               Seungyeon Kim and
               Guy Lebanon and
               Yoram Singer and
               Samy Bengio},
  title     = {{LLORMA:} Local Low-Rank Matrix Approximation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {15:1--15:24},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-301.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeeKLSB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LefakisF16,
  author    = {Leonidas Lefakis and
               Fran{\c{c}}ois Fleuret},
  title     = {Jointly Informative Feature Selection Made Tractable by Gaussian Modeling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {182:1--182:39},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-026.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LefakisF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeifertSGWL16,
  author    = {Gundram Leifert and
               Tobias Strau{\ss} and
               Tobias Gr{\"{u}}ning and
               Welf Wustlich and
               Roger Labahn},
  title     = {Cells in Multidimensional Recurrent Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {97:1--97:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-203.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LeifertSGWL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lemeire16,
  author    = {Jan Lemeire},
  title     = {Conditional Independencies under the Algorithmic Independence of Conditionals},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {151:1--151:20},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-450.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Lemeire16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LevineFDA16,
  author    = {Sergey Levine and
               Chelsea Finn and
               Trevor Darrell and
               Pieter Abbeel},
  title     = {End-to-End Training of Deep Visuomotor Policies},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {39:1--39:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-522.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LevineFDA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiSH16,
  author    = {Bin Li and
               Doyen Sahoo and
               Steven C. H. Hoi},
  title     = {{OLPS:} {A} Toolbox for On-Line Portfolio Selection},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {35:1--35:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-317.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiSH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinBBM16,
  author    = {Jiahe Lin and
               Sumanta Basu and
               Moulinath Banerjee and
               George Michailidis},
  title     = {Penalized Maximum Likelihood Estimation of Multi-layered Gaussian
               Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {146:1--146:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-004.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinBBM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LinRZ16,
  author    = {Junhong Lin and
               Lorenzo Rosasco and
               Ding{-}Xuan Zhou},
  title     = {Iterative Regularization for Learning with Convex Loss Functions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {77:1--77:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-115.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LinRZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuZ16,
  author    = {Ji Liu and
               Xiaojin Zhu},
  title     = {The Teaching Dimension of Linear Learners},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {162:1--162:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-630.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LiuZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LizotteL16,
  author    = {Daniel J. Lizotte and
               Eric B. Laber},
  title     = {Multi-Objective Markov Decision Processes for Data-Driven Decision
               Support},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {211:1--211:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-252.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LizotteL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LondonHG16,
  author    = {Ben London and
               Bert Huang and
               Lise Getoor},
  title     = {Stability and Generalization in Structured Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {222:1--222:52},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-501.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LondonHG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LuHWZL16,
  author    = {Jing Lu and
               Steven C. H. Hoi and
               Jialei Wang and
               Peilin Zhao and
               Zhiyong Liu},
  title     = {Large Scale Online Kernel Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {47:1--47:43},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-148.html},
  timestamp = {Sat, 29 Aug 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LuHWZL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LucaCV16,
  author    = {Stijn Luca and
               David A. Clifton and
               Bart Vanrumste},
  title     = {One-class classification of point patterns of extremes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {191:1--191:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-112.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LucaCV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Luttinen16,
  author    = {Jaakko Luttinen},
  title     = {BayesPy: Variational Bayesian Inference in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {41:1--41:6},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/luttinen16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Luttinen16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LyzinskiLFP16,
  author    = {Vince Lyzinski and
               Keith Levin and
               Donniell E. Fishkind and
               Carey E. Priebe},
  title     = {On the Consistency of the Likelihood Maximization Vertex Nomination
               Scheme: Bridging the Gap Between Maximum Likelihood Estimation and
               Graph Matching},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {179:1--179:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-343.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/LyzinskiLFP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaM16,
  author    = {Jing Ma and
               George Michailidis},
  title     = {Joint Structural Estimation of Multiple Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {166:1--166:48},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-656.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaTT16,
  author    = {Chenxin Ma and
               Rachael Tappenden and
               Martin Tak{\'{a}}c},
  title     = {Linear Convergence of Randomized Feasible Descent Methods Under the
               Weak Strong Convexity Assumption},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {230:1--230:24},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-541.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaTT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaggioniMS16,
  author    = {Mauro Maggioni and
               Stanislav Minsker and
               Nate Strawn},
  title     = {Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {2:1--2:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/maggioni16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaggioniMS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MansinghkaSJPGT16,
  author    = {Vikash Mansinghka and
               Patrick Shafto and
               Eric Jonas and
               Cap Petschulat and
               Max Gasner and
               Joshua B. Tenenbaum},
  title     = {CrossCat: {A} Fully Bayesian Nonparametric Method for Analyzing Heterogeneous,
               High Dimensional Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {138:1--138:49},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/11-392.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MansinghkaSJPGT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ManukyanC16,
  author    = {Art{\"{u}}r Manukyan and
               Elvan Ceyhan},
  title     = {Classification of Imbalanced Data with a Geometric Digraph Family},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {189:1--189:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-604.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ManukyanC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MartinezWCZ16,
  author    = {Ana M. Mart{\'{\i}}nez and
               Geoffrey I. Webb and
               Shenglei Chen and
               Nayyar A. Zaidi},
  title     = {Scalable Learning of Bayesian Network Classifiers},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {44:1--44:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/martinez16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MartinezWCZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MaurerPR16,
  author    = {Andreas Maurer and
               Massimiliano Pontil and
               Bernardino Romera{-}Paredes},
  title     = {The Benefit of Multitask Representation Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {81:1--81:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-242.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MaurerPR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Maurya16,
  author    = {Ashwini Maurya},
  title     = {A Well-Conditioned and Sparse Estimation of Covariance and Inverse
               Covariance Matrices Using a Joint Penalty},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {130:1--130:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-345.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Maurya16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/McDonaldPS16,
  author    = {Andrew M. McDonald and
               Massimiliano Pontil and
               Dimitris Stamos},
  title     = {New Perspectives on k-Support and Cluster Norms},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {155:1--155:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-151.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/McDonaldPS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/McQueenMVZ16,
  author    = {James McQueen and
               Marina Meila and
               Jacob VanderPlas and
               Zhongyue Zhang},
  title     = {Megaman: Scalable Manifold Learning in Python},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {148:1--148:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-109.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/McQueenMVZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MeisterS16,
  author    = {Mona Meister and
               Ingo Steinwart},
  title     = {Optimal Learning Rates for Localized SVMs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {194:1--194:44},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-023.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MeisterS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MelchiorFW16,
  author    = {Jan Melchior and
               Asja Fischer and
               Laurenz Wiskott},
  title     = {How to Center Deep Boltzmann Machines},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {99:1--99:61},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-237.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MelchiorFW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MengBYSVLFTAOXX16,
  author    = {Xiangrui Meng and
               Joseph K. Bradley and
               Burak Yavuz and
               Evan R. Sparks and
               Shivaram Venkataraman and
               Davies Liu and
               Jeremy Freeman and
               D. B. Tsai and
               Manish Amde and
               Sean Owen and
               Doris Xin and
               Reynold Xin and
               Michael J. Franklin and
               Reza Zadeh and
               Matei Zaharia and
               Ameet Talwalkar},
  title     = {MLlib: Machine Learning in Apache Spark},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {34:1--34:7},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-237.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MengBYSVLFTAOXX16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MenonW16,
  author    = {Aditya Krishna Menon and
               Robert C. Williamson},
  title     = {Bipartite Ranking: a Risk-Theoretic Perspective},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {195:1--195:102},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-265.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MenonW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MentchH16,
  author    = {Lucas Mentch and
               Giles Hooker},
  title     = {Quantifying Uncertainty in Random Forests via Confidence Intervals
               and Hypothesis Tests},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {26:1--26:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-168.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MentchH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MinhBM16,
  author    = {Ha Quang Minh and
               Loris Bazzani and
               Vittorio Murino},
  title     = {A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces
               for Manifold Regularization and Co-Regularized Multi-view Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {25:1--25:72},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-036.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MinhBM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MirzasoleimanKS16,
  author    = {Baharan Mirzasoleiman and
               Amin Karbasi and
               Rik Sarkar and
               Andreas Krause},
  title     = {Distributed Submodular Maximization},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {238:1--238:44},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/mirzasoleiman16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MirzasoleimanKS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MisraK16,
  author    = {Navodit Misra and
               Ercan E. Kuruoglu},
  title     = {Stable Graphical Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {168:1--168:36},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-150.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MisraK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MoghaddassRM16,
  author    = {Ramin Moghaddass and
               Cynthia Rudin and
               David Madigan},
  title     = {The Factorized Self-Controlled Case Series Method: An Approach for
               Estimating the Effects of Many Drugs on Many Outcomes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {185:1--185:24},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-405.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MoghaddassRM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MohriM16,
  author    = {Mehryar Mohri and
               Andres Mu{\~{n}}oz Medina},
  title     = {Learning Algorithms for Second-Price Auctions with Reserve},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {74:1--74:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-499.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MohriM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MokhtariR16,
  author    = {Aryan Mokhtari and
               Alejandro Ribeiro},
  title     = {{DSA:} Decentralized Double Stochastic Averaging Gradient Algorithm},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {61:1--61:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-292.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MokhtariR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MontjoyeRP16,
  author    = {Yves{-}Alexandre de Montjoye and
               Luc Rocher and
               Alex 'Sandy' Pentland},
  title     = {bandicoot: a Python Toolbox for Mobile Phone Metadata},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {175:1--175:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-593.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MontjoyeRP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MooijPJZS16,
  author    = {Joris M. Mooij and
               Jonas Peters and
               Dominik Janzing and
               Jakob Zscheischler and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Distinguishing Cause from Effect Using Observational Data: Methods
               and Benchmarks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {32:1--32:102},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-518.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MooijPJZS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MuandetSFGS16,
  author    = {Krikamol Muandet and
               Bharath K. Sriperumbudur and
               Kenji Fukumizu and
               Arthur Gretton and
               Bernhard Sch{\"{o}}lkopf},
  title     = {Kernel Mean Shrinkage Estimators},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {48:1--48:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-195.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/MuandetSFGS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeuB16,
  author    = {Gergely Neu and
               G{\'{a}}bor Bart{\'{o}}k},
  title     = {Importance Weighting Without Importance Weights: An Efficient Algorithm
               for Combinatorial Semi-Bandits},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {154:1--154:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-091.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NeuB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeykovLC16,
  author    = {Matey Neykov and
               Jun S. Liu and
               Tianxi Cai},
  title     = {On the Characterization of a Class of Fisher-Consistent Loss Functions
               and its Application to Boosting},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {70:1--70:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-306.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NeykovLC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeykovLC16a,
  author    = {Matey Neykov and
               Jun S. Liu and
               Tianxi Cai},
  title     = {L1-Regularized Least Squares for Support Recovery of High Dimensional
               Single Index Models with Gaussian Designs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {87:1--87:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-006.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NeykovLC16a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NieKW16,
  author    = {Jiazhong Nie and
               Wojciech Kotlowski and
               Manfred K. Warmuth},
  title     = {Online {PCA} with Optimal Regret},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {173:1--173:49},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-320.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NieKW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NiinimakiPK16,
  author    = {Teppo Niinimaki and
               Pekka Parviainen and
               Mikko Koivisto},
  title     = {Structure Discovery in Bayesian Networks by Sampling Partial Orders},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {57:1--57:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-140.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NiinimakiPK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NishiyamaF16,
  author    = {Yu Nishiyama and
               Kenji Fukumizu},
  title     = {Characteristic Kernels and Infinitely Divisible Distributions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {180:1--180:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-132.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/NishiyamaF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OatesSM16,
  author    = {Chris J. Oates and
               Jim Q. Smith and
               Sach Mukherjee},
  title     = {Estimating Causal Structure Using Conditional {DAG} Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {54:1--54:23},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-479.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OatesSM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OdenseE16,
  author    = {Simon Odense and
               Roderick Edwards},
  title     = {Universal Approximation Results for the Temporal Restricted Boltzmann
               Machine and the Recurrent Temporal Restricted Boltzmann Machine},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {158:1--158:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-478.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/OdenseE16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PahikkalaA16,
  author    = {Tapio Pahikkala and
               Antti Airola},
  title     = {RLScore: Regularized Least-Squares Learners},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {221:1--221:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-470.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PahikkalaA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkH16,
  author    = {Chiwoo Park and
               Jianhua Z. Huang},
  title     = {Efficient Computation of Gaussian Process Regression for Large Spatial
               Data Sets by Patching Local Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {174:1--174:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-327.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ParkH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PavlidisHT16,
  author    = {Nicos G. Pavlidis and
               David P. Hofmeyr and
               Sotiris K. Tasoulis},
  title     = {Minimum Density Hyperplanes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {156:1--156:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-307.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PavlidisHT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PengWW16,
  author    = {Bo Peng and
               Lan Wang and
               Yichao Wu},
  title     = {An Error Bound for L1-norm Support Vector Machine Coefficients in
               Ultra-high Dimension},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {236:1--236:26},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-654.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PengWW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PetersenSW16,
  author    = {Ashley Petersen and
               Noah Simon and
               Daniela M. Witten},
  title     = {Convex Regression with Interpretable Sharp Partitions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {94:1--94:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-344.html},
  timestamp = {Wed, 23 Jun 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PetersenSW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PfeufferS16,
  author    = {Julianus Pfeuffer and
               Oliver Serang},
  title     = {A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic
               Bayesian Inference on Additive Factors},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {36:1--36:39},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-319.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PfeufferS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PilanciW16,
  author    = {Mert Pilanci and
               Martin J. Wainwright},
  title     = {Iterative Hessian Sketch: Fast and Accurate Solution Approximation
               for Constrained Least-Squares},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {53:1--53:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-460.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PilanciW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/PupoPRFV16,
  author    = {Oscar Gabriel Reyes Pupo and
               Eduardo P{\'{e}}rez and
               Mar{\'{\i}}a del Carmen Rodr{\'{\i}}guez{-}Hern{\'{a}}ndez and
               Habib M. Fardoun and
               Sebasti{\'{a}}n Ventura},
  title     = {{JCLAL:} {A} Java Framework for Active Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {95:1--95:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-347.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/PupoPRFV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/QianY16,
  author    = {Wei Qian and
               Yuhong Yang},
  title     = {Kernel Estimation and Model Combination in {A} Bandit Problem with
               Covariates},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {149:1--149:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-210.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/QianY16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/QinCS16,
  author    = {Xiangju Qin and
               P{\'{a}}draig Cunningham and
               Michael Salter{-}Townshend},
  title     = {Online Trans-dimensional von Mises-Fisher Mixture Models for User
               Profiles},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {200:1--200:51},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-454.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/QinCS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RamaswamyA16,
  author    = {Harish G. Ramaswamy and
               Shivani Agarwal},
  title     = {Convex Calibration Dimension for Multiclass Loss Matrices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {14:1--14:45},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-316.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RamaswamyA16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RaskuttiM16,
  author    = {Garvesh Raskutti and
               Michael W. Mahoney},
  title     = {A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {214:1--214:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-440.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RaskuttiM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ReadRPH16,
  author    = {Jesse Read and
               Peter Reutemann and
               Bernhard Pfahringer and
               Geoff Holmes},
  title     = {{MEKA:} {A} Multi-label/Multi-target Extension to {WEKA}},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {21:1--21:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/12-164.html},
  timestamp = {Thu, 19 Mar 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/ReadRPH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ReshefRFSM16,
  author    = {Yakir A. Reshef and
               David N. Reshef and
               Hilary K. Finucane and
               Pardis C. Sabeti and
               Michael Mitzenmacher},
  title     = {Measuring Dependence Powerfully and Equitably},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {212:1--212:63},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-308.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ReshefRFSM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RichtarikT16,
  author    = {Peter Richt{\'{a}}rik and
               Martin Tak{\'{a}}c},
  title     = {Distributed Coordinate Descent Method for Learning with Big Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {75:1--75:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-001.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RichtarikT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RieckW16,
  author    = {Konrad Rieck and
               Christian Wressnegger},
  title     = {Harry: {A} Tool for Measuring String Similarity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {9:1--9:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/rieck16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RieckW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RohdeW16,
  author    = {David Rohde and
               Matt P. Wand},
  title     = {Semiparametric Mean Field Variational Bayes: General Principles and
               Numerical Issues},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {172:1--172:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-276.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RohdeW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RomanoVBV16,
  author    = {Simone Romano and
               Xuan Vinh Nguyen and
               James Bailey and
               Karin Verspoor},
  title     = {Adjusting for Chance Clustering Comparison Measures},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {134:1--134:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-627.html},
  timestamp = {Thu, 15 Apr 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RomanoVBV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RussoR16,
  author    = {Daniel Russo and
               Benjamin Van Roy},
  title     = {An Information-Theoretic Analysis of Thompson Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {68:1--68:30},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-087.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/RussoR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SamoR16,
  author    = {Yves{-}Laurent Kom Samo and
               Stephen J. Roberts},
  title     = {String and Membrane Gaussian Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {131:1--131:87},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-382.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SamoR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Savitsky16,
  author    = {Terrance D. Savitsky},
  title     = {Scalable Approximate Bayesian Inference for Outlier Detection under
               Informative Sampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {226:1--226:49},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-088.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Savitsky16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SchulamS16,
  author    = {Peter Schulam and
               Suchi Saria},
  title     = {Integrative Analysis using Coupled Latent Variable Models for Individualizing
               Prognoses},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {234:1--234:35},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-436.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SchulamS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SeijenMPMS16,
  author    = {Harm van Seijen and
               Ashique Rupam Mahmood and
               Patrick M. Pilarski and
               Marlos C. Machado and
               Richard S. Sutton},
  title     = {True Online Temporal-Difference Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {145:1--145:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-599.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SeijenMPMS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shah16,
  author    = {Rajen Dinesh Shah},
  title     = {Modelling Interactions in High-dimensional Data with Backtracking},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {207:1--207:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-515.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Shah16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahBBPRW16,
  author    = {Nihar B. Shah and
               Sivaraman Balakrishnan and
               Joseph K. Bradley and
               Abhay Parekh and
               Kannan Ramchandran and
               Martin J. Wainwright},
  title     = {Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology
               Dependence},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {58:1--58:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-189.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahBBPRW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahZ16,
  author    = {Nihar B. Shah and
               Dengyong Zhou},
  title     = {Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {165:1--165:52},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-642.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShahZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShenSM16,
  author    = {Dan Shen and
               Haipeng Shen and
               J. S. Marron},
  title     = {A General Framework for Consistency of Principal Component Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {150:1--150:34},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-229.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShenSM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shimkin16,
  author    = {Nahum Shimkin},
  title     = {An Online Convex Optimization Approach to Blackwell's Approachability},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {129:1--129:23},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-339.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Shimkin16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShinLKSYS16,
  author    = {Hoo{-}Chang Shin and
               Le Lu and
               Lauren Kim and
               Ari Seff and
               Jianhua Yao and
               Ronald M. Summers},
  title     = {Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database
               for Automated Image Interpretation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {107:1--107:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-176.html},
  timestamp = {Mon, 30 Sep 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ShinLKSYS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SilvaE16,
  author    = {Ricardo Silva and
               Robin J. Evans},
  title     = {Causal Inference through a Witness Protection Program},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {56:1--56:53},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-130.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SilvaE16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Sojoudi16,
  author    = {Somayeh Sojoudi},
  title     = {Equivalence of Graphical Lasso and Thresholding for Sparse Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {115:1--115:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-013.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Sojoudi16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SuB16,
  author    = {Chengwei Su and
               Mark E. Borsuk},
  title     = {Improving Structure {MCMC} for Bayesian Networks through Markov Blanket
               Resampling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {118:1--118:20},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/su16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SuB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SuBC16,
  author    = {Weijie Su and
               Stephen P. Boyd and
               Emmanuel J. Cand{\`{e}}s},
  title     = {A Differential Equation for Modeling Nesterov's Accelerated Gradient
               Method: Theory and Insights},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {153:1--153:43},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-084.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SuBC16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SunN16,
  author    = {Lei Sun and
               Alexander G. Nikolaev},
  title     = {Mutual Information Based Matching for Causal Inference with Observational
               Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {199:1--199:31},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-420.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SunN16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SutterGK16,
  author    = {Tobias Sutter and
               Arnab Ganguly and
               Heinz Koeppl},
  title     = {A Variational Approach to Path Estimation and Parameter Inference
               of Hidden Diffusion Processes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {190:1--190:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-075.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SutterGK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SuttonMW16,
  author    = {Richard S. Sutton and
               Ashique Rupam Mahmood and
               Martha White},
  title     = {An Emphatic Approach to the Problem of Off-policy Temporal-Difference
               Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {73:1--73:29},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-488.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SuttonMW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SzaboSPG16,
  author    = {Zolt{\'{a}}n Szab{\'{o}} and
               Bharath K. Sriperumbudur and
               Barnab{\'{a}}s P{\'{o}}czos and
               Arthur Gretton},
  title     = {Learning Theory for Distribution Regression},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {152:1--152:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-510.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/SzaboSPG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TaiE16,
  author    = {Cheng Tai and
               Weinan E},
  title     = {Multiscale Adaptive Representation of Signals: I. The Basic Framework},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {140:1--140:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-072.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TaiE16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TamarCM16,
  author    = {Aviv Tamar and
               Dotan Di Castro and
               Shie Mannor},
  title     = {Learning the Variance of the Reward-To-Go},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {13:1--13:36},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-335.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TamarCM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TangS16,
  author    = {Lu Tang and
               Peter X. K. Song},
  title     = {Fused Lasso Approach in Regression Coefficients Clustering - Learning
               Parameter Heterogeneity in Data Integration},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {113:1--113:23},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-598.html},
  timestamp = {Wed, 11 Aug 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TangS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TehTV16,
  author    = {Yee Whye Teh and
               Alexandre H. Thiery and
               Sebastian J. Vollmer},
  title     = {Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {7:1--7:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/teh16a.html},
  timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/TehTV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TownsendKW16,
  author    = {James Townsend and
               Niklas Koep and
               Sebastian Weichwald},
  title     = {Pymanopt: {A} Python Toolbox for Optimization on Manifolds using Automatic
               Differentiation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {137:1--137:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-177.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TownsendKW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TrillosSBLB16,
  author    = {Nicol{\'{a}}s Garc{\'{\i}}a Trillos and
               Dejan Slepcev and
               James H. von Brecht and
               Thomas Laurent and
               Xavier Bresson},
  title     = {Consistency of Cheeger and Ratio Graph Cuts},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {181:1--181:46},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-490.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/TrillosSBLB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/UriaCGML16,
  author    = {Benigno Uria and
               Marc{-}Alexandre C{\^{o}}t{\'{e}} and
               Karol Gregor and
               Iain Murray and
               Hugo Larochelle},
  title     = {Neural Autoregressive Distribution Estimation},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {205:1--205:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-272.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/UriaCGML16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ValenzuelaR16,
  author    = {Michael L. Valenzuela and
               Jerzy W. Rozenblit},
  title     = {Learning Using Anti-Training with Sacrificial Data},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {24:1--24:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-589.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ValenzuelaR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VapnikI16,
  author    = {Vladimir Vapnik and
               Rauf Izmailov},
  title     = {Synergy of Monotonic Rules},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {136:1--136:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-137.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VapnikI16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VehtariMTSW16,
  author    = {Aki Vehtari and
               Tommi Mononen and
               Ville Tolvanen and
               Tuomas Sivula and
               Ole Winther},
  title     = {Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian
               Latent Variable Models},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {103:1--103:38},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-540.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/VehtariMTSW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/VollmerZT16,
  author    = {Sebastian J. Vollmer and
               Konstantinos C. Zygalakis and
               Yee Whye Teh},
  title     = {Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic
               Gradient Langevin Dynamics},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {159:1--159:48},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-494.html},
  timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jmlr/VollmerZT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WainbergAF16,
  author    = {Michael Wainberg and
               Babak Alipanahi and
               Brendan J. Frey},
  title     = {Are Random Forests Truly the Best Classifiers?},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {110:1--110:5},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-374.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WainbergAF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WallaceKSZM16,
  author    = {Byron C. Wallace and
               Jo{\"{e}}l Kuiper and
               Aakash Sharma and
               Mingxi (Brian) Zhu and
               Iain James Marshall},
  title     = {Extracting {PICO} Sentences from Clinical Trial Reports using Supervised
               Distant Supervision},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {132:1--132:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-404.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WallaceKSZM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangBYSS16,
  author    = {Xin Wang and
               Jinbo Bi and
               Shipeng Yu and
               Jiangwen Sun and
               Minghu Song},
  title     = {Multiplicative Multitask Feature Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {80:1--80:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-234.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangBYSS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangCZ16,
  author    = {Yuanjia Wang and
               Tianle Chen and
               Donglin Zeng},
  title     = {Support Vector Hazards Machine: {A} Counting Process Framework for
               Learning Risk Scores for Censored Outcomes},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {167:1--167:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-007.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangCZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangJFZHZW16,
  author    = {Ziteng Wang and
               Chi Jin and
               Kai Fan and
               Jiaqi Zhang and
               Junliang Huang and
               Yiqiao Zhong and
               Liwei Wang},
  title     = {Differentially Private Data Releasing for Smooth Queries},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {51:1--51:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-388.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangJFZHZW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLF16,
  author    = {Yu{-}Xiang Wang and
               Jing Lei and
               Stephen E. Fienberg},
  title     = {Learning with Differential Privacy: Stability, Learnability and the
               Sufficiency and Necessity of {ERM} Principle},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {183:1--183:40},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-313.html},
  timestamp = {Wed, 12 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLF16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangLZ16,
  author    = {Shusen Wang and
               Luo Luo and
               Zhihua Zhang},
  title     = {{SPSD} Matrix Approximation vis Column Selection: Theories, Algorithms,
               and Extensions},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {49:1--49:49},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-199.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangLZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangSST16,
  author    = {Yu{-}Xiang Wang and
               James Sharpnack and
               Alexander J. Smola and
               Ryan J. Tibshirani},
  title     = {Trend Filtering on Graphs},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {105:1--105:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-147.html},
  timestamp = {Wed, 12 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangSST16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangX16,
  author    = {Yu{-}Xiang Wang and
               Huan Xu},
  title     = {Noisy Sparse Subspace Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {12:1--12:41},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/13-354.html},
  timestamp = {Wed, 12 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangX16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WangZZ16,
  author    = {Shusen Wang and
               Zhihua Zhang and
               Tong Zhang},
  title     = {Towards More Efficient {SPSD} Matrix Approximation and {CUR} Matrix
               Decomposition},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {210:1--210:49},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-190.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WangZZ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WeiL16,
  author    = {Ermo Wei and
               Sean Luke},
  title     = {Lenient Learning in Independent-Learner Stochastic Cooperative Games},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {84:1--84:42},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-417.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WeiL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WiensGH16,
  author    = {Jenna Wiens and
               John V. Guttag and
               Eric Horvitz},
  title     = {Patient Risk Stratification with Time-Varying Parameters: {A} Multitask
               Learning Approach},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {79:1--79:23},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-177.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WiensGH16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Williamson16,
  author    = {Sinead A. Williamson},
  title     = {Nonparametric Network Models for Link Prediction},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {202:1--202:21},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-032.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Williamson16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WilliamsonVR16,
  author    = {Robert C. Williamson and
               Elodie Vernet and
               Mark D. Reid},
  title     = {Composite Multiclass Losses},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {223:1--223:52},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-294.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WilliamsonVR16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WuKSP16,
  author    = {Chong Wu and
               Sunghoon Kwon and
               Xiaotong Shen and
               Wei Pan},
  title     = {A New Algorithm and Theory for Penalized Regression-based Clustering},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {188:1--188:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-553.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/WuKSP16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YadwadkarHGK16,
  author    = {Neeraja Jayant Yadwadkar and
               Bharath Hariharan and
               Joseph E. Gonzalez and
               Randy Howard Katz},
  title     = {Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {106:1--106:37},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-149.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YadwadkarHGK16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangCO16,
  author    = {Zhirong Yang and
               Jukka Corander and
               Erkki Oja},
  title     = {Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {187:1--187:25},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-549.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangCO16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangLW16,
  author    = {Lei Yang and
               Shaogao Lv and
               Junhui Wang},
  title     = {Model-free Variable Selection in Reproducing Kernel Hilbert Space},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {82:1--82:24},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-390.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangLW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangMB16,
  author    = {Dan Yang and
               Zongming Ma and
               Andreas Buja},
  title     = {Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {92:1--92:27},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-134.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YangMB16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Yu16,
  author    = {Huizhen Yu},
  title     = {Weak Convergence Properties of Constrained Emphatic Temporal-difference
               Learning with Constant and Slowly Diminishing Stepsize},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {220:1--220:58},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-242.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/Yu16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuanYS16,
  author    = {Kun Yuan and
               Bicheng Ying and
               Ali H. Sayed},
  title     = {On the Influence of Momentum Acceleration on Online Learning},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {192:1--192:66},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/16-157.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuanYS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuilleM16,
  author    = {Alan L. Yuille and
               Roozbeh Mottaghi},
  title     = {Complexity of Representation and Inference in Compositional Models
               with Part Sharing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {11:1--11:28},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/yuille16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/YuilleM16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZbontarL16,
  author    = {Jure Zbontar and
               Yann LeCun},
  title     = {Stereo Matching by Training a Convolutional Neural Network to Compare
               Image Patches},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {65:1--65:32},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-535.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZbontarL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangCZJ16,
  author    = {Yuchen Zhang and
               Xi Chen and
               Dengyong Zhou and
               Michael I. Jordan},
  title     = {Spectral Methods Meet {EM:} {A} Provably Optimal Algorithm for Crowdsourcing},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {102:1--102:44},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-511.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangCZJ16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangJD16,
  author    = {Shiliang Zhang and
               Hui Jiang and
               Li{-}Rong Dai},
  title     = {Hybrid Orthogonal Projection and Estimation {(HOPE):} {A} New Framework
               to Learn Neural Networks},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {37:1--37:33},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-335.html},
  timestamp = {Thu, 27 Aug 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangJD16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangLW16,
  author    = {Chong Zhang and
               Yufeng Liu and
               Yichao Wu},
  title     = {On Quantile Regression in Reproducing Kernel Hilbert Spaces with the
               Data Sparsity Constraint},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {40:1--40:45},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/zhang16a.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangLW16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangWWL16,
  author    = {Xiang Zhang and
               Yichao Wu and
               Lan Wang and
               Runze Li},
  title     = {A Consistent Information Criterion for Support Vector Machines in
               Diverging Model Spaces},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {16:1--16:26},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-231.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhangWWL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaoFWT16,
  author    = {Anqi Zhao and
               Yang Feng and
               Lie Wang and
               Xin Tong},
  title     = {Neyman-Pearson Classification under High-Dimensional Settings},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {213:1--213:39},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/15-418.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaoFWT16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaoGME16,
  author    = {Shiwen Zhao and
               Chuan Gao and
               Sayan Mukherjee and
               Barbara E. Engelhardt},
  title     = {Bayesian group factor analysis with structured sparsity},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {196:1--196:47},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-472.html},
  timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaoGME16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhaoS16,
  author    = {Jing Zhao and
               Shiliang Sun},
  title     = {Variational Dependent Multi-output Gaussian Process Dynamical Systems},
  journal   = {J. Mach. Learn. Res.},
  volume    = {17},
  pages     = {121:1--121:36},
  year      = {2016},
  url       = {http://jmlr.org/papers/v17/14-423.html},
  timestamp = {Wed, 12 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/jmlr/ZhaoS16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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