BibTeX records: Arun Sai Suggala

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@inproceedings{DBLP:conf/alt/SuggalaN20,
  author    = {Arun Sai Suggala and
               Praneeth Netrapalli},
  editor    = {Aryeh Kontorovich and
               Gergely Neu},
  title     = {Online Non-Convex Learning: Following the Perturbed Leader is Optimal},
  booktitle = {Algorithmic Learning Theory, {ALT} 2020, 8-11 February 2020, San Diego,
               CA, {USA}},
  series    = {Proceedings of Machine Learning Research},
  volume    = {117},
  pages     = {845--861},
  publisher = {{PMLR}},
  year      = {2020},
  url       = {http://proceedings.mlr.press/v117/suggala20a.html},
  timestamp = {Thu, 18 Jun 2020 11:48:49 +0200},
  biburl    = {https://dblp.org/rec/conf/alt/SuggalaN20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-07541,
  author    = {Arun Sai Suggala and
               Praneeth Netrapalli},
  title     = {Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms
               for Smooth Minimax Games},
  journal   = {CoRR},
  volume    = {abs/2006.07541},
  year      = {2020},
  url       = {https://arxiv.org/abs/2006.07541},
  archivePrefix = {arXiv},
  eprint    = {2006.07541},
  timestamp = {Wed, 17 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2006-07541.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-11430,
  author    = {Kartik Gupta and
               Arun Sai Suggala and
               Adarsh Prasad and
               Praneeth Netrapalli and
               Pradeep Ravikumar},
  title     = {Learning Minimax Estimators via Online Learning},
  journal   = {CoRR},
  volume    = {abs/2006.11430},
  year      = {2020},
  url       = {https://arxiv.org/abs/2006.11430},
  archivePrefix = {arXiv},
  eprint    = {2006.11430},
  timestamp = {Wed, 24 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2006-11430.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SuggalaPNR19,
  author    = {Arun Sai Suggala and
               Adarsh Prasad and
               Vaishnavh Nagarajan and
               Pradeep Ravikumar},
  editor    = {Kamalika Chaudhuri and
               Masashi Sugiyama},
  title     = {Revisiting Adversarial Risk},
  booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics,
               {AISTATS} 2019, 16-18 April 2019, Naha, Okinawa, Japan},
  series    = {Proceedings of Machine Learning Research},
  volume    = {89},
  pages     = {2331--2339},
  publisher = {{PMLR}},
  year      = {2019},
  url       = {http://proceedings.mlr.press/v89/suggala19a.html},
  timestamp = {Fri, 07 Jun 2019 09:03:47 +0200},
  biburl    = {https://dblp.org/rec/conf/aistats/SuggalaPNR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SuggalaBR019,
  author    = {Arun Sai Suggala and
               Kush Bhatia and
               Pradeep Ravikumar and
               Prateek Jain},
  editor    = {Alina Beygelzimer and
               Daniel Hsu},
  title     = {Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression},
  booktitle = {Conference on Learning Theory, {COLT} 2019, 25-28 June 2019, Phoenix,
               AZ, {USA}},
  series    = {Proceedings of Machine Learning Research},
  volume    = {99},
  pages     = {2892--2897},
  publisher = {{PMLR}},
  year      = {2019},
  url       = {http://proceedings.mlr.press/v99/suggala19a.html},
  timestamp = {Mon, 08 Jul 2019 16:13:41 +0200},
  biburl    = {https://dblp.org/rec/conf/colt/SuggalaBR019.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/YehHSIR19,
  author    = {Chih{-}Kuan Yeh and
               Cheng{-}Yu Hsieh and
               Arun Sai Suggala and
               David I. Inouye and
               Pradeep Ravikumar},
  editor    = {Hanna M. Wallach and
               Hugo Larochelle and
               Alina Beygelzimer and
               Florence d'Alch{\'{e}}{-}Buc and
               Emily B. Fox and
               Roman Garnett},
  title     = {On the (In)fidelity and Sensitivity of Explanations},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
               on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14
               December 2019, Vancouver, BC, Canada},
  pages     = {10965--10976},
  year      = {2019},
  url       = {http://papers.nips.cc/paper/9278-on-the-infidelity-and-sensitivity-of-explanations},
  timestamp = {Fri, 06 Mar 2020 16:59:09 +0100},
  biburl    = {https://dblp.org/rec/conf/nips/YehHSIR19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1901-09392,
  author    = {Chih{-}Kuan Yeh and
               Cheng{-}Yu Hsieh and
               Arun Sai Suggala and
               David I. Inouye and
               Pradeep Ravikumar},
  title     = {How Sensitive are Sensitivity-Based Explanations?},
  journal   = {CoRR},
  volume    = {abs/1901.09392},
  year      = {2019},
  url       = {http://arxiv.org/abs/1901.09392},
  archivePrefix = {arXiv},
  eprint    = {1901.09392},
  timestamp = {Sat, 02 Feb 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1901-09392.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1903-08110,
  author    = {Arun Sai Suggala and
               Praneeth Netrapalli},
  title     = {Online Non-Convex Learning: Following the Perturbed Leader is Optimal},
  journal   = {CoRR},
  volume    = {abs/1903.08110},
  year      = {2019},
  url       = {http://arxiv.org/abs/1903.08110},
  archivePrefix = {arXiv},
  eprint    = {1903.08110},
  timestamp = {Mon, 01 Apr 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1903-08110.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1903-08192,
  author    = {Arun Sai Suggala and
               Kush Bhatia and
               Pradeep Ravikumar and
               Prateek Jain},
  title     = {Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression},
  journal   = {CoRR},
  volume    = {abs/1903.08192},
  year      = {2019},
  url       = {http://arxiv.org/abs/1903.08192},
  archivePrefix = {arXiv},
  eprint    = {1903.08192},
  timestamp = {Mon, 01 Apr 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1903-08192.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/SuggalaPR18,
  author    = {Arun Sai Suggala and
               Adarsh Prasad and
               Pradeep Ravikumar},
  editor    = {Samy Bengio and
               Hanna M. Wallach and
               Hugo Larochelle and
               Kristen Grauman and
               Nicol{\`{o}} Cesa{-}Bianchi and
               Roman Garnett},
  title     = {Connecting Optimization and Regularization Paths},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
               on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December
               2018, Montr{\'{e}}al, Canada},
  pages     = {10631--10641},
  year      = {2018},
  url       = {http://papers.nips.cc/paper/8260-connecting-optimization-and-regularization-paths},
  timestamp = {Fri, 06 Mar 2020 17:00:31 +0100},
  biburl    = {https://dblp.org/rec/conf/nips/SuggalaPR18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1802-06485,
  author    = {Adarsh Prasad and
               Arun Sai Suggala and
               Sivaraman Balakrishnan and
               Pradeep Ravikumar},
  title     = {Robust Estimation via Robust Gradient Estimation},
  journal   = {CoRR},
  volume    = {abs/1802.06485},
  year      = {2018},
  url       = {http://arxiv.org/abs/1802.06485},
  archivePrefix = {arXiv},
  eprint    = {1802.06485},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1802-06485.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-02924,
  author    = {Arun Sai Suggala and
               Adarsh Prasad and
               Vaishnavh Nagarajan and
               Pradeep Ravikumar},
  title     = {On Adversarial Risk and Training},
  journal   = {CoRR},
  volume    = {abs/1806.02924},
  year      = {2018},
  url       = {http://arxiv.org/abs/1806.02924},
  archivePrefix = {arXiv},
  eprint    = {1806.02924},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1806-02924.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GuptaSGSPKGUV017,
  author    = {Chirag Gupta and
               Arun Sai Suggala and
               Ankit Goyal and
               Harsha Vardhan Simhadri and
               Bhargavi Paranjape and
               Ashish Kumar and
               Saurabh Goyal and
               Raghavendra Udupa and
               Manik Varma and
               Prateek Jain},
  editor    = {Doina Precup and
               Yee Whye Teh},
  title     = {ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning,
               {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
  series    = {Proceedings of Machine Learning Research},
  volume    = {70},
  pages     = {1331--1340},
  publisher = {{PMLR}},
  year      = {2017},
  url       = {http://proceedings.mlr.press/v70/gupta17a.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/GuptaSGSPKGUV017.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SuggalaYR17,
  author    = {Arun Sai Suggala and
               Eunho Yang and
               Pradeep Ravikumar},
  editor    = {Doina Precup and
               Yee Whye Teh},
  title     = {Ordinal Graphical Models: {A} Tale of Two Approaches},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning,
               {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
  series    = {Proceedings of Machine Learning Research},
  volume    = {70},
  pages     = {3260--3269},
  publisher = {{PMLR}},
  year      = {2017},
  url       = {http://proceedings.mlr.press/v70/suggala17a.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/SuggalaYR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YenLCSLR17,
  author    = {Ian En{-}Hsu Yen and
               Wei{-}Cheng Lee and
               Sung{-}En Chang and
               Arun Sai Suggala and
               Shou{-}De Lin and
               Pradeep Ravikumar},
  editor    = {Doina Precup and
               Yee Whye Teh},
  title     = {Latent Feature Lasso},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning,
               {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
  series    = {Proceedings of Machine Learning Research},
  volume    = {70},
  pages     = {3949--3957},
  publisher = {{PMLR}},
  year      = {2017},
  url       = {http://proceedings.mlr.press/v70/yen17a.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/YenLCSLR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/SuggalaKR17,
  author    = {Arun Sai Suggala and
               Mladen Kolar and
               Pradeep Ravikumar},
  editor    = {Isabelle Guyon and
               Ulrike von Luxburg and
               Samy Bengio and
               Hanna M. Wallach and
               Rob Fergus and
               S. V. N. Vishwanathan and
               Roman Garnett},
  title     = {The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential
               Densities},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
               on Neural Information Processing Systems 2017, 4-9 December 2017,
               Long Beach, CA, {USA}},
  pages     = {4446--4456},
  year      = {2017},
  url       = {http://papers.nips.cc/paper/7031-the-expxorcist-nonparametric-graphical-models-via-conditional-exponential-densities},
  timestamp = {Fri, 06 Mar 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/nips/SuggalaKR17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TanseyPSR15,
  author    = {Wesley Tansey and
               Oscar Hernan Madrid Padilla and
               Arun Sai Suggala and
               Pradeep Ravikumar},
  editor    = {Francis R. Bach and
               David M. Blei},
  title     = {Vector-Space Markov Random Fields via Exponential Families},
  booktitle = {Proceedings of the 32nd International Conference on Machine Learning,
               {ICML} 2015, Lille, France, 6-11 July 2015},
  series    = {{JMLR} Workshop and Conference Proceedings},
  volume    = {37},
  pages     = {684--692},
  publisher = {JMLR.org},
  year      = {2015},
  url       = {http://proceedings.mlr.press/v37/tansey15.html},
  timestamp = {Wed, 29 May 2019 08:41:45 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/TanseyPSR15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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