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The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.

, , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29143-29160. PMLR, (2023)

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An Information-Theoretic Analysis of Bayesian Reinforcement Learning., , , and . Allerton, page 1-7. IEEE, (2022)Tighter Expected Generalization Error Bounds via Wasserstein Distance., , , and . NeurIPS, page 19109-19121. (2021)Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems., , , and . CoRR, (2024)A note on generalization bounds for losses with finite moments., , , and . 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).Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data., , and . IEEE Trans. Inf. Theory, 67 (11): 7362-7379 (2021)A Variational Approach to Privacy and Fairness., , and . ITW, page 1-6. IEEE, (2021)On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm., , , and . ITW, page 1-5. IEEE, (2020)A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry., , , and . CoRR, (2024)Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization., , , , , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 663-706. PMLR, (2023)