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Near-optimal reinforcement learning in polynomial time, and . Proc. 15th International Conf. on Machine Learning, page 260--268. Morgan Kaufmann, San Francisco, CA, (1998)An Experimental Study of the Coloring Problem on Human Subject Networks, , and . (August 2006)Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness, , , and . (2017)cite arxiv:1711.05144Comment: Added new experimental results and a slightly modified fairness definition.Algorithms and Learning for Fair Portfolio Design., , , , , , , and . EC, page 371-389. ACM, (2021)Balanced Filtering via Disclosure-Controlled Proxies., , , and . FORC, volume 295 of LIPIcs, page 4:1-4:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)Recent Results on Boolean Concept Learning, , , and . Proceedings of the Fourth International Workshop on Machine Learning, San Francisco, CA, Morgan Kaufmann, (1987)An Algorithmic Framework for Fairness Elicitation., , , , , and . FORC, volume 192 of LIPIcs, page 2:1-2:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Private Synthetic Data for Multitask Learning and Marginal Queries., , , , , , , , and . NeurIPS, (2022)Multicalibrated Regression for Downstream Fairness., , , , , and . AIES, page 259-286. ACM, (2023)Minimax Group Fairness: Algorithms and Experiments., , , , and . AIES, page 66-76. ACM, (2021)