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An Information-Theoretic Analysis of Bayesian Reinforcement Learning., , , и . Allerton, стр. 1-7. IEEE, (2022)Tighter Expected Generalization Error Bounds via Wasserstein Distance., , , и . NeurIPS, стр. 19109-19121. (2021)A note on generalization bounds for losses with finite moments., , , и . CoRR, (2024)Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems., , , и . CoRR, (2024)An Information-Theoretic Approach to Generalization Theory.. Royal Institute of Technology, Stockholm, Sweden, (2024)base-search.net (ftkthstockholm:oai:DiVA.org:kth-344833).More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity., , и . J. Mach. Learn. Res., (2024)Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data., , и . IEEE Trans. Inf. Theory, 67 (11): 7362-7379 (2021)On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity., , и . CoRR, (2024)On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm., , , и . ITW, стр. 1-5. IEEE, (2020)A Variational Approach to Privacy and Fairness., , и . ITW, стр. 1-6. IEEE, (2021)