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Inverse Reinforcement Learning without Reinforcement Learning.

, , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 33299-33318. PMLR, (2023)

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Zhiwei Hu

 

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Bayesian Exploration: Incentivizing Exploration in Bayesian Games., , , и . Oper. Res., 70 (2): 1105-1127 (2022)Game-Theoretic Algorithms for Conditional Moment Matching., , , и . CoRR, (2022)Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)., , , и . SODA, стр. 1890-1903. SIAM, (2015)Jointly Private Convex Programming., , , и . SODA, стр. 580-599. SIAM, (2016)Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 9026-9035. PMLR, (2020)Inverse Reinforcement Learning without Reinforcement Learning., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 33299-33318. PMLR, (2023)Locally Private Hypothesis Selection., , , , , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 1785-1816. PMLR, (2020)Fair Regression: Quantitative Definitions and Reduction-Based Algorithms., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 120-129. PMLR, (2019)Inducing Approximately Optimal Flow Using Truthful Mediators., , , и . EC, стр. 471-488. ACM, (2015)Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM., , , , и . NIPS, стр. 2566-2576. (2017)