Jon Schneider - RankMe

110 papers A* 44A 3B 2Journal 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Opportunistic Approachability. CoRR Teodor Vanislavov Marinov, Mehryar Mohri, Princewill Okoroafor, Jon Schneider, Julian Zimmert
2026	J	`jnl`	Near-optimal Swap Regret Minimization for Convex Losses. CoRR Lunjia Hu, Jon Schneider, Yifan Wu
2026	J	`jnl`	Next-Token Prediction and Regret Minimization. CoRR Mehryar Mohri, Clayton Sanford, Jon Schneider, Kiran Vodrahalli, Yifan Wu
2026	J	`jnl`	Swap Regret Minimization Through Response-Based Approachability. CoRR Ioannis Anagnostides, Gabriele Farina, Maxwell Fishelson, Haipeng Luo, Jon Schneider
2025	J	`jnl`	A New Benchmark for Online Learning with Budget-Balancing Constraints. CoRR Mark Braverman, Jingyi Liu, Jieming Mao, Jon Schneider, Eric Xue
2025	A*	`conf`	Best of Both Worlds: Regret Minimization versus Minimax Play. ICML Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025	J	`jnl`	Best of Both Worlds: Regret Minimization versus Minimax Play. CoRR Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025	J	`jnl`	Coherence Mechanisms for Provable Self-Improvement. CoRR Mehryar Mohri, Jon Schneider, Yifan Wu
2025	J	`jnl`	Combinatorial Optimization using Comparison Oracles. CoRR Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Guru Guruganesh, Euiwoong Lee, Debmalya Panigrahi, Madhusudhan Reddy Pittu, Jon Schneider, David P. Woodruff
2025	A*	`conf`	Computing Optimal Regularizers for Online Linear Optimization. COLT Khashayar Gatmiry, Jon Schneider, Stefanie Jegelka
2025	A*	`conf`	Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games. STOC Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Charilaos Pipis, Jon Schneider
2025	B	`conf`	Full Swap Regret and Discretized Calibration. ALT Maxwell Fishelson, Robert Kleinberg, Princewill Okoroafor, Renato Paes Leme, Jon Schneider, Yifeng Teng
2025	J	`jnl`	Full Swap Regret and Discretized Calibration. CoRR Maxwell Fishelson, Robert Kleinberg, Princewill Okoroafor, Renato Paes Leme, Jon Schneider, Yifeng Teng
2025	J	`jnl`	High-Dimensional Calibration from Swap Regret. CoRR Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider
2025	A*	`conf`	Learning to Play Against Unknown Opponents. EC Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider
2025	A*	`conf`	Rate-Preserving Reductions for Blackwell Approachability. COLT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	A*	`conf`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. EC Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	J	`jnl`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2024	A*	`conf`	Adversarial Online Learning with Temporal Feedback Graphs. COLT Khashayar Gatmiry, Jon Schneider
2024	J	`jnl`	Adversarial Online Learning with Temporal Feedback Graphs. CoRR Khashayar Gatmiry, Jon Schneider
2024	J	`jnl`	Auto-Bidding and Auctions in Online Advertising: A Survey. SIGecom Exch. Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024	J	`jnl`	Auto-bidding and Auctions in Online Advertising: A Survey. CoRR Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024	J	`jnl`	Bernoulli Factories for Flow-Based Polytopes. SIAM J. Discret. Math. Rad Niazadeh, Renato Paes Leme, Jon Schneider
2024	A*	`conf`	Complex Dynamics in Autobidding Systems. EC Renato Paes Leme, Georgios Piliouras, Jon Schneider, Kelly Spendlove, Song Zuo
2024	J	`jnl`	Computing Optimal Regularizers for Online Linear Optimization. CoRR Khashayar Gatmiry, Jon Schneider, Stefanie Jegelka
2024	A*	`conf`	Contracting with a Learning Agent. NeurIPS Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg
2024	J	`jnl`	Contracting with a Learning Agent. CoRR Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg
2024	A*	`conf`	Convergence of No-Swap-Regret Dynamics in Self-Play. NeurIPS Renato Paes Leme, Georgios Piliouras, Jon Schneider
2024	J	`jnl`	Dynamical Analysis of Autobidding Systems. CoRR Renato Paes Leme, Georgios Piliouras, Jon Schneider, Kelly Spendlove, Song Zuo
2024	J	`jnl`	Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games. CoRR Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Charilaos Pipis, Jon Schneider
2024	J	`jnl`	Learning to Play Against Unknown Opponents. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider
2024	A*	`conf`	Online Learning with Bounded Recall. ICML Jon Schneider, Kiran Vodrahalli
2024	J	`jnl`	Optimal cross-learning for contextual bandits with unknown context distributions. CoRR Jon Schneider, Julian Zimmert
2024	A*	`conf`	Pareto-Optimal Algorithms for Learning in Games. EC Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider
2024	J	`jnl`	Pareto-Optimal Algorithms for Learning in Games. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Jon Schneider
2024	A*	`conf`	Prior-Free Mechanism with Welfare Guarantees. WWW Guru Guruganesh, Jon Schneider, Joshua R. Wang
2024	J	`jnl`	Rate-Preserving Reductions for Blackwell Approachability. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2024	A*	`conf`	Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions. EC Rachitesh Kumar, Jon Schneider, Balasubramanian Sivan
2024	J	`jnl`	Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions. CoRR Rachitesh Kumar, Jon Schneider, Balasubramanian Sivan
2023	J	`jnl`	Bayesian Conversations. CoRR Renato Paes Leme, Jon Schneider, Shuran Zheng
2023	J	`jnl`	Contextual Bandits with Cross-Learning. Math. Oper. Res. Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab Mirrokni, Jon Schneider
2023	A*	`conf`	Eligibility Mechanisms: Auctions Meet Information Retrieval. WWW Gagan Goel, Renato Paes Leme, Jon Schneider, David Thompson, Hanrui Zhang
2023	A*	`conf`	Is Learning in Games Good for the Learners? NeurIPS William Brown, Jon Schneider, Kiran Vodrahalli
2023	J	`jnl`	Is Learning in Games Good for the Learners? CoRR William Brown, Jon Schneider, Kiran Vodrahalli
2023	J	`jnl`	Learning Product Rankings Robust to Fake Users. Oper. Res. Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
2023	J	`jnl`	Nonbossy Mechanisms: Mechanism Design Robust to Secondary Goals. CoRR Renato Paes Leme, Jon Schneider, Hanrui Zhang
2023	A*	`conf`	Optimal No-Regret Learning for One-Sided Lipschitz Functions. ICML Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang
2023	A*	`conf`	Optimal cross-learning for contextual bandits with unknown context distributions. NeurIPS Jon Schneider, Julian Zimmert
2023	B	`conf`	Pseudonorm Approachability and Applications to Regret Minimization. ALT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	J	`jnl`	Pseudonorm Approachability and Applications to Regret Minimization. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	A*	`conf`	The Power of Menus in Contract Design. EC Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao
2023	J	`jnl`	The Power of Menus in Contract Design. CoRR Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao
2023	A*	`conf`	U-Calibration: Forecasting for an Unknown Agent. COLT Bobby Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng
2023	J	`jnl`	U-Calibration: Forecasting for an Unknown Agent. CoRR Robert Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng
2022	A*	`conf`	Anonymous Bandits for Multi-User Systems. NeurIPS Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
2022	J	`jnl`	Anonymous Bandits for Multi-User Systems. CoRR Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
2022	J	`jnl`	Bernoulli Factories for Flow-Based Polytopes. CoRR Rad Niazadeh, Renato Paes Leme, Jon Schneider
2022	J	`jnl`	Contextual Search via Intrinsic Volumes. SIAM J. Comput. Renato Paes Leme, Jon Schneider
2022	A*	`conf`	Corruption-Robust Contextual Search through Density Updates. COLT Renato Paes Leme, Chara Podimata, Jon Schneider
2022	J	`jnl`	Corruption-Robust Contextual Search through Density Updates. CoRR Renato Paes Leme, Chara Podimata, Jon Schneider
2022	J	`jnl`	History-Restricted Online Learning. CoRR Jon Schneider, Kiran Vodrahalli
2022	J	`jnl`	Multiparameter Bernoulli Factories. CoRR Renato Paes Leme, Jon Schneider
2022	A*	`conf`	Strategizing against Learners in Bayesian Games. COLT Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2022	J	`jnl`	Strategizing against Learners in Bayesian Games. CoRR Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2021	A*	`conf`	Combinatorial Bernoulli factories: matchings, flows, and other polytopes. STOC Rad Niazadeh, Renato Paes Leme, Jon Schneider
2021	A*	`conf`	Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. NeurIPS Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider
2021	J	`jnl`	Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. CoRR Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider
2021	A*	`conf`	Contracts under Moral Hazard and Adverse Selection. EC Guru Guruganesh, Jon Schneider, Joshua R. Wang
2021	A*	`conf`	Jointly Learning Prices and Product Features. IJCAI Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan
2021	A*	`conf`	Learning Product Rankings Robust to Fake Users. EC Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
2021	A*	`conf`	Margin-Independent Online Multiclass Learning via Convex Geometry. NeurIPS Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang
2021	J	`jnl`	Margin-Independent Online Multiclass Learning via Convex Geometry. CoRR Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang
2021	A*	`conf`	Optimal Contextual Pricing and Extensions. SODA Allen Liu, Renato Paes Leme, Jon Schneider
2021	A*	`conf`	Prior-free Dynamic Mechanism Design With Limited Liability. EC Mark Braverman, Jon Schneider, S. Matthew Weinberg
2021	J	`jnl`	Prior-free Dynamic Mechanism Design With Limited Liability. CoRR Mark Braverman, Jon Schneider, S. Matthew Weinberg
2021	A*	`conf`	Reserve Price Optimization for First Price Auctions in Display Advertising. ICML Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
2021	A*	`conf`	Variable Decomposition for Prophet Inequalities and Optimal Ordering. EC Allen Liu, Renato Paes Leme, Martin Pál, Jon Schneider, Balasubramanian Sivan
2020	J	`jnl`	Combinatorial Bernoulli Factories: Matchings, Flows and Other Polytopes. CoRR Rad Niazadeh, Renato Paes Leme, Jon Schneider
2020	J	`jnl`	Competing Optimally Against An Imperfect Prophet. CoRR Allen Liu, Renato Paes Leme, Martin Pal, Jon Schneider, Balasubramanian Sivan
2020	J	`jnl`	Contextual Search for General Hypothesis Classes. CoRR Allen Liu, Renato Paes Leme, Jon Schneider
2020	J	`jnl`	Contracts under Moral Hazard and Adverse Selection. CoRR Guru Guruganesh, Jon Schneider, Joshua R. Wang
2020	A*	`conf`	Costly Zero Order Oracles. COLT Renato Paes Leme, Jon Schneider
2020	J	`jnl`	Learning Product Rankings Robust to Fake Users. CoRR Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar
2020	A*	`conf`	Myersonian Regression. NeurIPS Allen Liu, Renato Paes Leme, Jon Schneider
2020	J	`jnl`	Reserve Price Optimization for First Price Auctions. CoRR Zhe Feng, Sébastien Lahaie, Jon Schneider, Jinchao Ye
2019	A	`conf`	Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. WACV Nihal Murali, Jon Schneider, Joel Levine, Graham W. Taylor
2019	A*	`conf`	Contextual Bandits with Cross-Learning. NeurIPS Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider
2019	A*	`conf`	Multi-armed Bandit Problems with Strategic Arms. COLT Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2019	A*	`conf`	Prior-Free Dynamic Auctions with Low Regret Buyers. NeurIPS Yuan Deng, Jon Schneider, Balasubramanian Sivan
2019	A*	`conf`	Strategizing against No-regret Learners. NeurIPS Yuan Deng, Jon Schneider, Balasubramanian Sivan
2019	J	`jnl`	Strategizing against No-regret Learners. CoRR Yuan Deng, Jon Schneider, Balasubramanian Sivan
2019	A	`conf`	The Space Complexity of Mirror Games. ITCS Sumegha Garg, Jon Schneider
2018	J	`jnl`	Contextual Bandits with Cross-learning. CoRR Santiago R. Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab S. Mirrokni, Jon Schneider
2018	A*	`conf`	Contextual Pricing for Lipschitz Buyers. NeurIPS Jieming Mao, Renato Paes Leme, Jon Schneider
2018	A*	`conf`	Contextual Search via Intrinsic Volumes. FOCS Renato Paes Leme, Jon Schneider
2018	J	`jnl`	Contextual Search via Intrinsic Volumes. CoRR Renato Paes Leme, Jon Schneider
2018	J	`jnl`	Optimal Instance Adaptive Algorithm for the Top-K Ranking Problem. IEEE Trans. Inf. Theory Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2018	A*	`conf`	Selling to a No-Regret Buyer. EC Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2017	A*	`conf`	Competitive analysis of the top- SODA Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2017	A	`conf`	Condorcet-Consistent and Approximately Strategyproof Tournament Rules. ITCS Jon Schneider, Ariel Schvartzman, S. Matthew Weinberg
2017	J	`jnl`	Multi-armed Bandit Problems with Strategic Arms. CoRR Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2017	J	`jnl`	Selling to a No-Regret Buyer. CoRR Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg
2017	J	`jnl`	The space complexity of mirror games. CoRR Sumegha Garg, Jon Schneider
2016	J	`jnl`	Competitive analysis of the top-K ranking problem. CoRR Xi Chen, Sivakanth Gopi, Jieming Mao, Jon Schneider
2016	J	`jnl`	Condorcet-Consistent and Approximately Strategyproof Tournament Rules. CoRR Jon Schneider, Ariel Schvartzman, S. Matthew Weinberg
2016	A*	`conf`	Information Complexity Is Computable. ICALP Mark Braverman, Jon Schneider
2015	J	`jnl`	Information complexity is computable. CoRR Mark Braverman, Jon Schneider
2015	J	`jnl`	Information complexity is computable. Electron. Colloquium Comput. Complex. Mark Braverman, Jon Schneider
2015	J	`jnl`	Tight space-noise tradeoffs in computing the ergodic measure. CoRR Mark Braverman, Cristobal Rojas, Jon Schneider
2014	J	`jnl`	Fast Dynamic Pointer Following via Link-Cut Trees. CoRR Erik D. Demaine, Nathan Pinsker, Jon Schneider