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@inproceedings{DBLP:conf/colt/0002KKNS18,
  author       = {Prateek Jain and
                  Sham M. Kakade and
                  Rahul Kidambi and
                  Praneeth Netrapalli and
                  Aaron Sidford},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Accelerating Stochastic Gradient Descent for Least Squares Regression},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {545--604},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/jain18a.html},
  timestamp    = {Wed, 03 Apr 2019 18:17:23 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/0002KKNS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0003G18,
  author       = {Yu Cheng and
                  Rong Ge},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Non-Convex Matrix Completion Against a Semi-Random Adversary},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1362--1394},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/cheng18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/0003G18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Abbasi-YadkoriB18,
  author       = {Yasin Abbasi{-}Yadkori and
                  Peter L. Bartlett and
                  Victor Gabillon and
                  Alan Malek and
                  Michal Valko},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Best of both worlds: Stochastic {\&} adversarial best-arm identification},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {918--949},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/abbasi-yadkori18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Abbasi-YadkoriB18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AbernethyLLW18,
  author       = {Jacob D. Abernethy and
                  Kevin A. Lai and
                  Kfir Y. Levy and
                  Jun{-}Kun Wang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Faster Rates for Convex-Concave Games},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1595--1625},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/abernethy18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AbernethyLLW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AgarwalH18,
  author       = {Naman Agarwal and
                  Elad Hazan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Lower Bounds for Higher-Order Convex Optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {774--792},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/agarwal18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AgarwalH18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AlabiIK18,
  author       = {Daniel Alabi and
                  Nicole Immorlica and
                  Adam Kalai},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Unleashing Linear Optimizers for Group-Fair Learning and Optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2043--2066},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/alabi18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AlabiIK18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AlaouiJ18,
  author       = {Ahmed El Alaoui and
                  Michael I. Jordan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Detection limits in the high-dimensional spiked rectangular model},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {410--438},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/el-alaoui18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AlaouiJ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AltschulerT18,
  author       = {Jason M. Altschuler and
                  Kunal Talwar},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Online learning over a finite action set with limited switching},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1569--1573},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/altschuler18a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AltschulerT18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AroraHK18,
  author       = {Sanjeev Arora and
                  Wei Hu and
                  Pravesh K. Kothari},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {An Analysis of the t-SNE Algorithm for Data Visualization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1455--1462},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/arora18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AroraHK18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BarbierKMMZ18,
  author       = {Jean Barbier and
                  Florent Krzakala and
                  Nicolas Macris and
                  L{\'{e}}o Miolane and
                  Lenka Zdeborov{\'{a}}},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Optimal Errors and Phase Transitions in High-Dimensional Generalized
                  Linear Models},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {728--731},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/barbier18a.html},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/colt/BarbierKMMZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BeameGY18,
  author       = {Paul Beame and
                  Shayan Oveis Gharan and
                  Xin Yang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations,
                  with Applications to Polynomials},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {843--856},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/beame18a.html},
  timestamp    = {Thu, 23 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BeameGY18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Belkin18,
  author       = {Mikhail Belkin},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Approximation beats concentration? An approximation view on inference
                  with smooth radial kernels},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1348--1361},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/belkin18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Belkin18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Bernton18,
  author       = {Espen Bernton},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Langevin Monte Carlo and {JKO} splitting},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1777--1798},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bernton18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Bernton18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Bhandari0S18,
  author       = {Jalaj Bhandari and
                  Daniel Russo and
                  Raghav Singal},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {A Finite Time Analysis of Temporal Difference Learning With Linear
                  Function Approximation},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1691--1692},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bhandari18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Bhandari0S18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BhattacharyyaGS18,
  author       = {Arnab Bhattacharyya and
                  Suprovat Ghoshal and
                  Rishi Saket},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Hardness of Learning Noisy Halfspaces using Polynomial Thresholds},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {876--917},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bhattacharyya18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BhattacharyyaGS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BhojanapalliB0N18,
  author       = {Srinadh Bhojanapalli and
                  Nicolas Boumal and
                  Prateek Jain and
                  Praneeth Netrapalli},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Smoothed analysis for low-rank solutions to semidefinite programs
                  in quadratic penalty form},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3243--3270},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bhojanapalli18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BhojanapalliB0N18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BlumH18,
  author       = {Avrim Blum and
                  Lunjia Hu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Active Tolerant Testing},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {474--497},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/blum18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BlumH18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Borsos0L18,
  author       = {Zalan Borsos and
                  Andreas Krause and
                  Kfir Y. Levy},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Online Variance Reduction for Stochastic Optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {324--357},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/borsos18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Borsos0L18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BrennanBH18,
  author       = {Matthew S. Brennan and
                  Guy Bresler and
                  Wasim Huleihel},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Reducibility and Computational Lower Bounds for Problems with Planted
                  Sparse Structure},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {48--166},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/brennan18a.html},
  timestamp    = {Tue, 17 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BrennanBH18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BreslerN18,
  author       = {Guy Bresler and
                  Dheeraj Nagaraj},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Optimal Single Sample Tests for Structured versus Unstructured Network
                  Data},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1657--1690},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bresler18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BreslerN18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BubeckR18,
  author       = {S{\'{e}}bastien Bubeck and
                  Philippe Rigollet},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Conference on Learning Theory 2018: Preface},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/bubeck18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BubeckR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BusicM18,
  author       = {Ana Busic and
                  Sean P. Meyn},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Action-Constrained Markov Decision Processes With Kullback-Leibler
                  Cost},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1431--1444},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/busic18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/BusicM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CarpenterDSS18,
  author       = {Timothy Carpenter and
                  Ilias Diakonikolas and
                  Anastasios Sidiropoulos and
                  Alistair Stewart},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation
                  of Multivariate Log-concave Densities},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1234--1262},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/carpenter18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/CarpenterDSS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CasselMZ18,
  author       = {Asaf B. Cassel and
                  Shie Mannor and
                  Assaf Zeevi},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {A General Approach to Multi-Armed Bandits Under Risk Criteria},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1295--1306},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/cassel18a.html},
  timestamp    = {Sun, 03 Jul 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/CasselMZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Cesa-BianchiGM18,
  author       = {Nicol{\`{o}} Cesa{-}Bianchi and
                  Claudio Gentile and
                  Yishay Mansour},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Nonstochastic Bandits with Composite Anonymous Feedback},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {750--773},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/cesa-bianchi18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Cesa-BianchiGM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenFK18,
  author       = {Bangrui Chen and
                  Peter I. Frazier and
                  David Kempe},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Incentivizing Exploration by Heterogeneous Users},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {798--818},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/chen18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/ChenFK18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenGW18,
  author       = {Niangjun Chen and
                  Gautam Goel and
                  Adam Wierman},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Smoothed Online Convex Optimization in High Dimensions via Online
                  Balanced Descent},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1574--1594},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/chen18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/ChenGW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChengCBJ18,
  author       = {Xiang Cheng and
                  Niladri S. Chatterji and
                  Peter L. Bartlett and
                  Michael I. Jordan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Underdamped Langevin {MCMC:} {A} non-asymptotic analysis},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {300--323},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/cheng18a.html},
  timestamp    = {Fri, 22 Jul 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/ChengCBJ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChernozhukovWZ18,
  author       = {Victor Chernozhukov and
                  Kaspar W{\"{u}}thrich and
                  Yinchu Zhu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Exact and Robust Conformal Inference Methods for Predictive Machine
                  Learning with Dependent Data},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {732--749},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/chernozhukov18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/ChernozhukovWZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CutkoskyO18,
  author       = {Ashok Cutkosky and
                  Francesco Orabona},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Black-Box Reductions for Parameter-free Online Learning in Banach
                  Spaces},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1493--1529},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/cutkosky18a.html},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/CutkoskyO18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DaganS18,
  author       = {Yuval Dagan and
                  Ohad Shamir},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Detecting Correlations with Little Memory and Communication},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1145--1198},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/dagan18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DaganS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DalalTSM18,
  author       = {Gal Dalal and
                  Gugan Thoppe and
                  Bal{\'{a}}zs Sz{\"{o}}r{\'{e}}nyi and
                  Shie Mannor},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Finite Sample Analysis of Two-Timescale Stochastic Approximation with
                  Applications to Reinforcement Learning},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1199--1233},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/dalal18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DalalTSM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DaskalakisDG18,
  author       = {Constantinos Daskalakis and
                  Nishanth Dikkala and
                  Nick Gravin},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Testing Symmetric Markov Chains From a Single Trajectory},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {385--409},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/daskalakis18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DaskalakisDG18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Diakonikolas0S18,
  author       = {Ilias Diakonikolas and
                  Jerry Li and
                  Ludwig Schmidt},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Fast and Sample Near-Optimal Algorithms for Learning Multidimensional
                  Histograms},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {819--842},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/diakonikolas18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Diakonikolas0S18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DuchiRY18,
  author       = {John C. Duchi and
                  Feng Ruan and
                  Chulhee Yun},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Minimax Bounds on Stochastic Batched Convex Optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3065--3162},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/duchi18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DuchiRY18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DudejaH18,
  author       = {Rishabh Dudeja and
                  Daniel Hsu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Learning Single-Index Models in Gaussian Space},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1887--1930},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/dudeja18a.html},
  timestamp    = {Mon, 08 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DudejaH18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DurfeeLS18,
  author       = {David Durfee and
                  Kevin A. Lai and
                  Saurabh Sawlani},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {{\textdollar}{\textbackslash}ell{\_}1{\textdollar} Regression using
                  Lewis Weights Preconditioning and Stochastic Gradient Descent},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1626--1656},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/durfee18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DurfeeLS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DwivediCW018,
  author       = {Raaz Dwivedi and
                  Yuansi Chen and
                  Martin J. Wainwright and
                  Bin Yu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Log-concave sampling: Metropolis-Hastings algorithms are fast!},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {793--797},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/dwivedi18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DwivediCW018.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DworkF18,
  author       = {Cynthia Dwork and
                  Vitaly Feldman},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Privacy-preserving Prediction},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1693--1702},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/dwork18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/DworkF18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FeffermanIKLN18,
  author       = {Charles Fefferman and
                  Sergei Ivanov and
                  Yaroslav Kurylev and
                  Matti Lassas and
                  Hariharan Narayanan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Fitting a Putative Manifold to Noisy Data},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {688--720},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/fefferman18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/FeffermanIKLN18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FeiC18,
  author       = {Yingjie Fei and
                  Yudong Chen},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Hidden Integrality of {SDP} Relaxations for Sub-Gaussian Mixture Models},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1931--1965},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/fei18a.html},
  timestamp    = {Tue, 10 Sep 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/FeiC18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FeldmanS18,
  author       = {Vitaly Feldman and
                  Thomas Steinke},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Calibrating Noise to Variance in Adaptive Data Analysis},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {535--544},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/feldman18a.html},
  timestamp    = {Sun, 14 Mar 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/colt/FeldmanS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FosterKLMS18,
  author       = {Dylan J. Foster and
                  Satyen Kale and
                  Haipeng Luo and
                  Mehryar Mohri and
                  Karthik Sridharan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Logistic Regression: The Importance of Being Improper},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {167--208},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/foster18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/FosterKLMS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FosterRS18,
  author       = {Dylan J. Foster and
                  Alexander Rakhlin and
                  Karthik Sridharan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Online Learning: Sufficient Statistics and the Burkholder Method},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3028--3064},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/foster18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/FosterRS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GolowichRS18,
  author       = {Noah Golowich and
                  Alexander Rakhlin and
                  Ohad Shamir},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Size-Independent Sample Complexity of Neural Networks},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {297--299},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/golowich18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/GolowichRS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GouleakisTZ18,
  author       = {Themis Gouleakis and
                  Christos Tzamos and
                  Manolis Zampetakis},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Certified Computation from Unreliable Datasets},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3271--3294},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/gouleakis18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/GouleakisTZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HanJW18,
  author       = {Yanjun Han and
                  Jiantao Jiao and
                  Tsachy Weissman},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Local moment matching: {A} unified methodology for symmetric functional
                  estimation and distribution estimation under Wasserstein distance},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3189--3221},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/han18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HanJW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HanOW18,
  author       = {Yanjun Han and
                  Ayfer {\"{O}}zg{\"{u}}r and
                  Tsachy Weissman},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Geometric Lower Bounds for Distributed Parameter Estimation under
                  Communication Constraints},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3163--3188},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/han18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HanOW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HandV18,
  author       = {Paul Hand and
                  Vladislav Voroninski},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Global Guarantees for Enforcing Deep Generative Priors by Empirical
                  Risk},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {970--978},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/hand18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HandV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HannekeKKT18,
  author       = {Steve Hanneke and
                  Adam Tauman Kalai and
                  Gautam Kamath and
                  Christos Tzamos},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Actively Avoiding Nonsense in Generative Models},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {209--227},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/hanneke18a.html},
  timestamp    = {Wed, 11 Sep 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HannekeKKT18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HazanL18,
  author       = {Elad Hazan and
                  Roi Livni},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Open problem: Improper learning of mixtures of Gaussians},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3399--3402},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/hazan18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HazanL18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Hinder18,
  author       = {Oliver Hinder},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Cutting plane methods can be extended into nonconvex optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1451--1454},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/hinder18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Hinder18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HoevenEK18,
  author       = {Dirk van der Hoeven and
                  Tim van Erven and
                  Wojciech Kotlowski},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {The Many Faces of Exponential Weights in Online Learning},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2067--2092},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/hoeven18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HoevenEK18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HoldenPP18,
  author       = {Nina Holden and
                  Robin Pemantle and
                  Yuval Peres},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Subpolynomial trace reconstruction for random strings {\textbackslash}\{and
                  arbitrary deletion probability},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1799--1840},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/holden18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/HoldenPP18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/IndykW18,
  author       = {Piotr Indyk and
                  Tal Wagner},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Approximate Nearest Neighbors in Limited Space},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2012--2036},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/indyk18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/IndykW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JainKM18,
  author       = {Vishesh Jain and
                  Frederic Koehler and
                  Elchanan Mossel},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {The Mean-Field Approximation: Information Inequalities, Algorithms,
                  and Complexity},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1326--1347},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/jain18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/JainKM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JainKM18a,
  author       = {Vishesh Jain and
                  Frederic Koehler and
                  Elchanan Mossel},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {The Vertex Sample Complexity of Free Energy is Polynomial},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1395--1419},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/jain18c.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/JainKM18a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JiangA18,
  author       = {Nan Jiang and
                  Alekh Agarwal},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Open Problem: The Dependence of Sample Complexity Lower Bounds on
                  Planning Horizon},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3395--3398},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/jiang18a.html},
  timestamp    = {Tue, 05 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/JiangA18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JinNJ18,
  author       = {Chi Jin and
                  Praneeth Netrapalli and
                  Michael I. Jordan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient
                  Descent},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1042--1085},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/jin18a.html},
  timestamp    = {Wed, 07 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/colt/JinNJ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Kasiviswanathan18,
  author       = {Shiva Prasad Kasiviswanathan and
                  Mark Rudelson},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Restricted Eigenvalue from Stable Rank with Applications to Sparse
                  Linear Regression},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1011--1041},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/kasiviswanathan18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Kasiviswanathan18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KirschnerK18,
  author       = {Johannes Kirschner and
                  Andreas Krause},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Information Directed Sampling and Bandits with Heteroscedastic Noise},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {358--384},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/kirschner18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/KirschnerK18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KlivansKM18,
  author       = {Adam R. Klivans and
                  Pravesh K. Kothari and
                  Raghu Meka},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Efficient Algorithms for Outlier-Robust Regression},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1420--1430},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/klivans18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/KlivansKM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KlusowskiW18,
  author       = {Jason M. Klusowski and
                  Yihong Wu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Counting Motifs with Graph Sampling},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1966--2011},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/klusowski18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/KlusowskiW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Kolmogorov18,
  author       = {Vladimir Kolmogorov},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {A Faster Approximation Algorithm for the Gibbs Partition Function},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {228--249},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/kolmogorov18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Kolmogorov18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KpotufeM18,
  author       = {Samory Kpotufe and
                  Guillaume Martinet},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Marginal Singularity, and the Benefits of Labels in Covariate-Shift},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1882--1886},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/kpotufe18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/KpotufeM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LeeSV18,
  author       = {Yin Tat Lee and
                  Aaron Sidford and
                  Santosh S. Vempala},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Efficient Convex Optimization with Membership Oracles},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1292--1294},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/lee18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LeeSV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiL18,
  author       = {Yuanzhi Li and
                  Yingyu Liang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Learning Mixtures of Linear Regressions with Nearly Optimal Complexity},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1125--1144},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/li18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LiL18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiMZ18,
  author       = {Yuanzhi Li and
                  Tengyu Ma and
                  Hongyang Zhang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Algorithmic Regularization in Over-parameterized Matrix Sensing and
                  Neural Networks with Quadratic Activations},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2--47},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/li18a.html},
  timestamp    = {Sat, 30 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LiMZ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LocatelliC18,
  author       = {Andrea Locatelli and
                  Alexandra Carpentier},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Adaptivity to Smoothness in X-armed bandits},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1463--1492},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/locatelli18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LocatelliC18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LuoWA018,
  author       = {Haipeng Luo and
                  Chen{-}Yu Wei and
                  Alekh Agarwal and
                  John Langford},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Efficient Contextual Bandits in Non-stationary Worlds},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1739--1776},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/luo18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LuoWA018.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LykourisST18,
  author       = {Thodoris Lykouris and
                  Karthik Sridharan and
                  {\'{E}}va Tardos},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Small-loss bounds for online learning with partial information},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {979--986},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/lykouris18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/LykourisST18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MangoubiV18,
  author       = {Oren Mangoubi and
                  Nisheeth K. Vishnoi},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Convex Optimization with Unbounded Nonconvex Oracles using Simulated
                  Annealing},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1086--1124},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/mangoubi18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/MangoubiV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MaoPW18,
  author       = {Cheng Mao and
                  Ashwin Pananjady and
                  Martin J. Wainwright},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Breaking the {\textdollar}1/{\textbackslash}sqrtn{\textdollar} Barrier:
                  Faster Rates for Permutation-based Models in Polynomial Time},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2037--2042},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/mao18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/MaoPW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MaurerP18,
  author       = {Andreas Maurer and
                  Massimiliano Pontil},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Empirical bounds for functions with weak interactions},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {987--1010},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/maurer18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/MaurerP18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MeisterV18,
  author       = {Michela Meister and
                  Gregory Valiant},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {A Data Prism: Semi-verified learning in the small-alpha regime},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1530--1546},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/meister18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/MeisterV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MondelliM18,
  author       = {Marco Mondelli and
                  Andrea Montanari},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Fundamental Limits of Weak Recovery with Applications to Phase Retrieval},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1445--1450},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/mondelli18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/MondelliM18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Mou0Z018,
  author       = {Wenlong Mou and
                  Liwei Wang and
                  Xiyu Zhai and
                  Kai Zheng},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Generalization Bounds of {SGLD} for Non-convex Learning: Two Theoretical
                  Viewpoints},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {605--638},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/mou18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Mou0Z018.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/NachumSY18,
  author       = {Ido Nachum and
                  Jonathan Shafer and
                  Amir Yehudayoff},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {A Direct Sum Result for the Information Complexity of Learning},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1547--1568},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/nachum18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/NachumSY18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/NeuR18,
  author       = {Gergely Neu and
                  Lorenzo Rosasco},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Iterate Averaging as Regularization for Stochastic Gradient Descent},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {3222--3242},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/neu18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/NeuR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Pillaud-VivienR18,
  author       = {Loucas Pillaud{-}Vivien and
                  Alessandro Rudi and
                  Francis R. Bach},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Exponential Convergence of Testing Error for Stochastic Gradient Methods},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {250--296},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/pillaud-vivien18a.html},
  timestamp    = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/colt/Pillaud-VivienR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/RaghavanSVW18,
  author       = {Manish Raghavan and
                  Aleksandrs Slivkins and
                  Jennifer Wortman Vaughan and
                  Zhiwei Steven Wu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {The Externalities of Exploration and How Data Diversity Helps Exploitation},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1724--1738},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/raghavan18a.html},
  timestamp    = {Thu, 23 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/RaghavanSVW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/RoughgardenW18,
  author       = {Tim Roughgarden and
                  Joshua R. Wang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {An Optimal Learning Algorithm for Online Unconstrained Submodular
                  Maximization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1307--1325},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/roughgarden18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/RoughgardenW18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Sharpnack18,
  author       = {James Sharpnack},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Learning Patterns for Detection with Multiscale Scan Statistics},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {950--969},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/sharpnack18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Sharpnack18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SimchowitzMTJR18,
  author       = {Max Simchowitz and
                  Horia Mania and
                  Stephen Tu and
                  Michael I. Jordan and
                  Benjamin Recht},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Learning Without Mixing: Towards {A} Sharp Analysis of Linear System
                  Identification},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {439--473},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/simchowitz18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/SimchowitzMTJR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/TanV18,
  author       = {Yan Shuo Tan and
                  Roman Vershynin},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis:
                  Spectral Methods},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {498--534},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/tan18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/TanV18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/TripuraneniFBJ18,
  author       = {Nilesh Tripuraneni and
                  Nicolas Flammarion and
                  Francis R. Bach and
                  Michael I. Jordan},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Averaging Stochastic Gradient Descent on Riemannian Manifolds},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {650--687},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/tripuraneni18a.html},
  timestamp    = {Mon, 09 Nov 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/colt/TripuraneniFBJ18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/TsitsiklisXX18,
  author       = {John N. Tsitsiklis and
                  Kuang Xu and
                  Zhi Xu},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Private Sequential Learning},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {721--727},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/tsitsiklis18a.html},
  timestamp    = {Wed, 27 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/TsitsiklisXX18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/TzenLR18,
  author       = {Belinda Tzen and
                  Tengyuan Liang and
                  Maxim Raginsky},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Local Optimality and Generalization Guarantees for the Langevin Algorithm
                  via Empirical Metastability},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {857--875},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/tzen18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/TzenLR18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Weed18,
  author       = {Jonathan Weed},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {An explicit analysis of the entropic penalty in linear programming},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1841--1855},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/weed18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Weed18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WeiL18,
  author       = {Chen{-}Yu Wei and
                  Haipeng Luo},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {More Adaptive Algorithms for Adversarial Bandits},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1263--1291},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/wei18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/WeiL18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Wibisono18,
  author       = {Andre Wibisono},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Sampling as optimization in the space of measures: The Langevin dynamics
                  as a composite optimization problem},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {2093--3027},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/wibisono18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Wibisono18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Yarotsky18,
  author       = {Dmitry Yarotsky},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Optimal approximation of continuous functions by very deep ReLU networks},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {639--649},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/yarotsky18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Yarotsky18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Zhang18,
  author       = {Chicheng Zhang},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Efficient active learning of sparse halfspaces},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1856--1880},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/zhang18b.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/Zhang18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ZhangS18,
  author       = {Hongyi Zhang and
                  Suvrit Sra},
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {An Estimate Sequence for Geodesically Convex Optimization},
  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  pages        = {1703--1723},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/zhang18a.html},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/ZhangS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/colt/2018,
  editor       = {S{\'{e}}bastien Bubeck and
                  Vianney Perchet and
                  Philippe Rigollet},
  title        = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9
                  July 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {75},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v75/},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/2018.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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