Selling to a no-regret buyer M Braverman, J Mao, J Schneider, M Weinberg Proceedings of the 2018 ACM Conference on Economics and Computation, 523-538, 2018 | 83 | 2018 |
Strategizing against no-regret learners Y Deng, J Schneider, B Sivan Advances in neural information processing systems 32, 2019 | 61 | 2019 |
Contextual pricing for lipschitz buyers J Mao, R Leme, J Schneider Advances in Neural Information Processing Systems 31, 2018 | 55 | 2018 |
Contextual search via intrinsic volumes RP Leme, J Schneider 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018 | 51 | 2018 |
Contextual bandits with cross-learning S Balseiro, N Golrezaei, M Mahdian, V Mirrokni, J Schneider Advances in Neural Information Processing Systems 32, 2019 | 50 | 2019 |
Contracts under moral hazard and adverse selection G Guruganesh, J Schneider, JR Wang Proceedings of the 22nd ACM Conference on Economics and Computation, 563-582, 2021 | 48 | 2021 |
Multi-armed bandit problems with strategic arms M Braverman, J Mao, J Schneider, SM Weinberg Conference on Learning Theory, 383-416, 2019 | 40 | 2019 |
Competitive analysis of the top-K ranking problem X Chen, S Gopi, J Mao, J Schneider Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 40 | 2017 |
Learning product rankings robust to fake users N Golrezaei, V Manshadi, J Schneider, S Sekar Proceedings of the 22nd ACM Conference on Economics and Computation, 560-561, 2021 | 38 | 2021 |
Strategizing against learners in bayesian games Y Mansour, M Mohri, J Schneider, B Sivan Conference on Learning Theory, 5221-5252, 2022 | 33 | 2022 |
Optimal contextual pricing and extensions A Liu, RP Leme, J Schneider Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021 | 32 | 2021 |
Variable decomposition for prophet inequalities and optimal ordering A Liu, RP Leme, M Pál, J Schneider, B Sivan arXiv preprint arXiv:2004.10163, 2020 | 32 | 2020 |
Prior-free dynamic auctions with low regret buyers Y Deng, J Schneider, B Sivan Advances in Neural Information Processing Systems 32, 2019 | 30 | 2019 |
Contracting with a learning agent G Guruganesh, Y Kolumbus, J Schneider, I Talgam-Cohen, ... arXiv preprint arXiv:2401.16198, 2024 | 18 | 2024 |
Condorcet-consistent and approximately strategyproof tournament rules J Schneider, A Schvartzman, SM Weinberg arXiv preprint arXiv:1605.09733, 2016 | 18 | 2016 |
U-calibration: Forecasting for an unknown agent B Kleinberg, RP Leme, J Schneider, Y Teng The Thirty Sixth Annual Conference on Learning Theory, 5143-5145, 2023 | 17 | 2023 |
Information complexity is computable M Braverman, J Schneider arXiv preprint arXiv:1502.02971, 2015 | 16 | 2015 |
Is learning in games good for the learners? W Brown, J Schneider, K Vodrahalli Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
Optimal no-regret learning for one-sided lipschitz functions P Dütting, G Guruganesh, J Schneider, JR Wang International Conference on Machine Learning, 8836-8850, 2023 | 15 | 2023 |
Space-bounded Church-Turing thesis and computational tractability of closed systems M Braverman, J Schneider, C Rojas Physical review letters 115 (9), 098701, 2015 | 15 | 2015 |