Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms

Milad Sefidgaran, Amin Gohari, Gaƫl Richard, Umut Simsekli. Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. In Po-Ling Loh, Maxim Raginsky, editors, Conference on Learning Theory, 2-5 July 2022, London, UK. Volume 178 of Proceedings of Machine Learning Research, pages 4416-4463, PMLR, 2022. [doi]

Abstract

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