Schneider, Jon

30 publications

ICML 2025 Best of Both Worlds: Regret Minimization Versus Minimax Play Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher

COLT 2025 Computing Optimal Regularizers for Online Linear Optimization Khashayar Gatmiry, Jon Schneider, Stefanie Jegelka

ALT 2025 Full Swap Regret and Discretized Calibration Maxwell Fishelson, Robert Kleinberg, Princewill Okoroafor, Renato Paes Leme, Jon Schneider, Yifeng Teng

NeurIPS 2025 High-Dimensional Calibration from Swap Regret Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider

COLT 2025 Rate-Preserving Reductions for Blackwell Approachability Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan

NeurIPS 2025 Robust Contextual Pricing Anupam Gupta, Guru Guruganesh, Renato Paes Leme, Jon Schneider

COLT 2024 Adversarial Online Learning with Temporal Feedback Graphs Khashayar Gatmiry, Jon Schneider

NeurIPS 2024 Contracting with a Learning Agent Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg

NeurIPS 2024 Convergence of No-Swap-Regret Dynamics in Self-Play Renato Paes Leme, Georgios Piliouras, Jon Schneider

ICML 2024 Online Learning with Bounded Recall Jon Schneider, Kiran Vodrahalli

NeurIPS 2023 Is Learning in Games Good for the Learners? William Brown, Jon Schneider, Kiran Vodrahalli

NeurIPS 2023 Optimal Cross-Learning for Contextual Bandits with Unknown Context Distributions Jon Schneider, Julian Zimmert

ICML 2023 Optimal No-Regret Learning for One-Sided Lipschitz Functions Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang

ALT 2023 Pseudonorm Approachability and Applications to Regret Minimization Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balubramanian Sivan

COLT 2023 U-Calibration: Forecasting for an Unknown Agent Bobby Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng

NeurIPS 2022 Anonymous Bandits for Multi-User Systems Hossein Esfandiari, Vahab Mirrokni, Jon Schneider

COLT 2022 Corruption-Robust Contextual Search Through Density Updates Renato Paes Leme, Chara Podimata, Jon Schneider

COLT 2022 Strategizing Against Learners in Bayesian Games Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan

NeurIPS 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Leme, Jon Schneider

IJCAI 2021 Jointly Learning Prices and Product Features Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan

NeurIPS 2021 Margin-Independent Online Multiclass Learning via Convex Geometry Guru Guruganesh, Allen Liu, Jon Schneider, Joshua Wang

ICML 2021 Reserve Price Optimization for First Price Auctions in Display Advertising Zhe Feng, Sebastien Lahaie, Jon Schneider, Jinchao Ye

COLT 2020 Costly Zero Order Oracles Renato Paes Leme, Jon Schneider

NeurIPS 2020 Myersonian Regression Allen Liu, Renato Leme, Jon Schneider

WACV 2019 Classification and Re-Identification of Fruit Fly Individuals Across Days with Convolutional Neural Networks Nihal Murali, Jon Schneider, Joel Levine, Graham W. Taylor

NeurIPS 2019 Contextual Bandits with Cross-Learning Santiago Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab Mirrokni, Jon Schneider

COLT 2019 Multi-Armed Bandit Problems with Strategic Arms Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg

NeurIPS 2019 Prior-Free Dynamic Auctions with Low Regret Buyers Yuan Deng, Jon Schneider, Balasubramanian Sivan

NeurIPS 2019 Strategizing Against No-Regret Learners Yuan Deng, Jon Schneider, Balasubramanian Sivan

NeurIPS 2018 Contextual Pricing for Lipschitz Buyers Jieming Mao, Renato Leme, Jon Schneider