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Guidelines for Implementing and Auditing Differentially Private Systems., , , , и . CoRR, (2020)Watch and Learn: Optimizing from Revealed Preferences Feedback., , и . CoRR, (2015)An Algorithmic Framework for Fairness Elicitation., , , , , и . FORC, том 192 из LIPIcs, стр. 2:1-2:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Private Synthetic Data for Multitask Learning and Marginal Queries., , , , , , , , и . NeurIPS, (2022)Adaptive Machine Unlearning., , , , , и . NeurIPS, стр. 16319-16330. (2021)Equal Opportunity in Online Classification with Partial Feedback., , , , и . NeurIPS, стр. 8972-8982. (2019)Oracle Efficient Algorithms for Groupwise Regret., , , , и . CoRR, (2023)Private Matchings and Allocations., , , , и . SIAM J. Comput., 45 (6): 1953-1984 (2016)Pipeline Interventions., , , и . ITCS, том 185 из LIPIcs, стр. 8:1-8:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Best vs. All: Equity and Accuracy of Standardized Test Score Reporting., , , и . FAccT, стр. 574-586. ACM, (2022)