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Online Learning in Markov Decision Processes with Changing Cost Sequences., , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 512-520. JMLR.org, (2014)Learning piecewise Lipschitz functions in changing environments., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3567-3577. PMLR, (2020)Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images., , , и . J. Mach. Learn. Res., (2020)How much data is sufficient to learn high-performing algorithms?, , , , , и . CoRR, (2019)On the geometry of output-code multi-class learning., , и . CoRR, (2015)Measuring Re-identification Risk., , , , , , , , , и 1 other автор(ы). Proc. ACM Manag. Data, 1 (2): 149:1-149:26 (2023)Private Algorithms with Private Predictions., , , и . CoRR, (2022)Envy-Free Classification., , , и . NeurIPS, стр. 1238-1248. (2019)Semi-bandit Optimization in the Dispersed Setting., , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 909-918. AUAI Press, (2020)Algorithms and Learning for Fair Portfolio Design., , , , , , , и . CoRR, (2020)