Jon Schneider

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 77

Top Topics

Bandit Problems

Convolutional Neural Networks

Adverse Selection

Top Venues

Publications

Renato Paes Leme, Georgios Piliouras, Jon Schneider, Kelly Spendlove, Song Zuo
Dynamical Analysis of Autobidding Systems. CoRR (2024)
Jon Schneider, Julian Zimmert
Optimal cross-learning for contextual bandits with unknown context distributions. CoRR (2024)
Rad Niazadeh, Renato Paes Leme, Jon Schneider
Bernoulli Factories for Flow-Based Polytopes. SIAM J. Discret. Math. 38 (1) (2024)
Rachitesh Kumar, Jon Schneider, Balasubramanian Sivan
Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions. CoRR (2024)
Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider
Pareto-Optimal Algorithms for Learning in Games. CoRR (2024)
Guru Guruganesh, Jon Schneider, Joshua R. Wang
Prior-Free Mechanism with Welfare Guarantees. WWW (2024)
Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg
Contracting with a Learning Agent. CoRR (2024)
Khashayar Gatmiry, Jon Schneider
Adversarial Online Learning with Temporal Feedback Graphs. COLT (2024)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Rate-Preserving Reductions for Blackwell Approachability. CoRR (2024)
Khashayar Gatmiry, Jon Schneider
Adversarial Online Learning with Temporal Feedback Graphs. CoRR (2024)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Pseudonorm Approachability and Applications to Regret Minimization. ALT (2023)
Robert Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng
U-Calibration: Forecasting for an Unknown Agent. CoRR (2023)
Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao
The Power of Menus in Contract Design. CoRR (2023)
Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
Learning Product Rankings Robust to Fake Users. Oper. Res. 71 (4) (2023)
Renato Paes Leme, Jon Schneider, Hanrui Zhang
Nonbossy Mechanisms: Mechanism Design Robust to Secondary Goals. CoRR (2023)
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Pseudonorm Approachability and Applications to Regret Minimization. CoRR (2023)
Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab Mirrokni, Jon Schneider
Contextual Bandits with Cross-Learning. Math. Oper. Res. 48 (3) (2023)
Renato Paes Leme, Jon Schneider, Shuran Zheng
Bayesian Conversations. CoRR (2023)
Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao
The Power of Menus in Contract Design. EC (2023)
Gagan Goel, Renato Paes Leme, Jon Schneider, David Thompson, Hanrui Zhang
Eligibility Mechanisms: Auctions Meet Information Retrieval. WWW (2023)
Bobby Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng
U-Calibration: Forecasting for an Unknown Agent. COLT (2023)
Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang
Optimal No-Regret Learning for One-Sided Lipschitz Functions. ICML (2023)
Jon Schneider, Julian Zimmert
Optimal cross-learning for contextual bandits with unknown context distributions. NeurIPS (2023)
William Brown, Jon Schneider, Kiran Vodrahalli
Is Learning in Games Good for the Learners? CoRR (2023)
William Brown, Jon Schneider, Kiran Vodrahalli
Is Learning in Games Good for the Learners? NeurIPS (2023)
Renato Paes Leme, Chara Podimata, Jon Schneider
Corruption-Robust Contextual Search through Density Updates. CoRR (2022)
Rad Niazadeh, Renato Paes Leme, Jon Schneider
Bernoulli Factories for Flow-Based Polytopes. CoRR (2022)
Jon Schneider, Kiran Vodrahalli
History-Restricted Online Learning. CoRR (2022)
Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
Anonymous Bandits for Multi-User Systems. NeurIPS (2022)
Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
Anonymous Bandits for Multi-User Systems. CoRR (2022)
Renato Paes Leme, Jon Schneider
Contextual Search via Intrinsic Volumes. SIAM J. Comput. 51 (4) (2022)
Renato Paes Leme, Chara Podimata, Jon Schneider
Corruption-Robust Contextual Search through Density Updates. COLT (2022)
Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Strategizing against Learners in Bayesian Games. COLT (2022)
Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
Strategizing against Learners in Bayesian Games. CoRR (2022)
Renato Paes Leme, Jon Schneider
Multiparameter Bernoulli Factories. CoRR (2022)
Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
Learning Product Rankings Robust to Fake Users. EC (2021)
Allen Liu, Renato Paes Leme, Jon Schneider
Optimal Contextual Pricing and Extensions. SODA (2021)
Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang
Margin-Independent Online Multiclass Learning via Convex Geometry. NeurIPS (2021)
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. CoRR (2021)
Mark Braverman, Jon Schneider, S. Matthew Weinberg
Prior-free Dynamic Mechanism Design With Limited Liability. EC (2021)
Guru Guruganesh, Jon Schneider, Joshua R. Wang
Contracts under Moral Hazard and Adverse Selection. EC (2021)
Rad Niazadeh, Renato Paes Leme, Jon Schneider
Combinatorial Bernoulli factories: matchings, flows, and other polytopes. STOC (2021)
Mark Braverman, Jon Schneider, S. Matthew Weinberg
Prior-free Dynamic Mechanism Design With Limited Liability. CoRR (2021)
Allen Liu, Renato Paes Leme, Martin Pál, Jon Schneider, Balasubramanian Sivan
Variable Decomposition for Prophet Inequalities and Optimal Ordering. EC (2021)
Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan
Jointly Learning Prices and Product Features. IJCAI (2021)
Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang
Margin-Independent Online Multiclass Learning via Convex Geometry. CoRR (2021)
Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
Reserve Price Optimization for First Price Auctions in Display Advertising. ICML (2021)
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. NeurIPS (2021)
Allen Liu, Renato Paes Leme, Jon Schneider
Myersonian Regression. NeurIPS (2020)
Rad Niazadeh, Renato Paes Leme, Jon Schneider
Combinatorial Bernoulli Factories: Matchings, Flows and Other Polytopes. CoRR (2020)
Allen Liu, Renato Paes Leme, Martin Pal, Jon Schneider, Balasubramanian Sivan
Competing Optimally Against An Imperfect Prophet. CoRR (2020)
Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
Learning Product Rankings Robust to Fake Users. CoRR (2020)
Guru Guruganesh, Jon Schneider, Joshua R. Wang
Contracts under Moral Hazard and Adverse Selection. CoRR (2020)
Renato Paes Leme, Jon Schneider
Costly Zero Order Oracles. COLT (2020)
Allen Liu, Renato Paes Leme, Jon Schneider
Contextual Search for General Hypothesis Classes. CoRR (2020)
Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
Reserve Price Optimization for First Price Auctions. CoRR (2020)
Sumegha Garg, Jon Schneider
The Space Complexity of Mirror Games. ITCS (2019)
Yuan Deng, Jon Schneider, Balasubramanian Sivan
Prior-Free Dynamic Auctions with Low Regret Buyers. NeurIPS (2019)
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
Multi-armed Bandit Problems with Strategic Arms. COLT (2019)
Nihal Murali, Jon Schneider, Joel Levine, Graham Taylor
Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. WACV (2019)
Yuan Deng, Jon Schneider, Balasubramanian Sivan
Strategizing against No-regret Learners. NeurIPS (2019)
Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider
Contextual Bandits with Cross-Learning. NeurIPS (2019)
Yuan Deng, Jon Schneider, Balasubramanian Sivan
Strategizing against No-regret Learners. CoRR (2019)
Renato Paes Leme, Jon Schneider
Contextual Search via Intrinsic Volumes. CoRR (2018)
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
Optimal Instance Adaptive Algorithm for the Top-K Ranking Problem. IEEE Trans. Inf. Theory 64 (9) (2018)
Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider
Contextual Bandits with Cross-learning. CoRR (2018)
Renato Paes Leme, Jon Schneider
Contextual Search via Intrinsic Volumes. FOCS (2018)
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
Selling to a No-Regret Buyer. EC (2018)
Jieming Mao, Renato Paes Leme, Jon Schneider
Contextual Pricing for Lipschitz Buyers. NeurIPS (2018)
Jon Schneider, Ariel Schvartzman, S. Matthew Weinberg
Condorcet-Consistent and Approximately Strategyproof Tournament Rules. ITCS (2017)
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
Multi-armed Bandit Problems with Strategic Arms. CoRR (2017)
Sumegha Garg, Jon Schneider
The space complexity of mirror games. CoRR (2017)
Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
Selling to a No-Regret Buyer. CoRR (2017)
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
ranking problem. SODA (2017)
Jon Schneider, Ariel Schvartzman, S. Matthew Weinberg
Condorcet-Consistent and Approximately Strategyproof Tournament Rules. CoRR (2016)
Mark Braverman, Jon Schneider
Information Complexity Is Computable. ICALP (2016)
Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
Competitive analysis of the top-K ranking problem. CoRR (2016)
Mark Braverman, Jon Schneider
Information complexity is computable. CoRR (2015)
Mark Braverman, Jon Schneider
Information complexity is computable. Electron. Colloquium Comput. Complex. 22 (2015)
Mark Braverman, Cristobal Rojas, Jon Schneider
Tight space-noise tradeoffs in computing the ergodic measure. CoRR (2015)
Erik D. Demaine, Nathan Pinsker, Jon Schneider
Fast Dynamic Pointer Following via Link-Cut Trees. CoRR (2014)