Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization

Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy 0001, Gintare Karolina Dziugaite. Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. In Shipra Agrawal 0001, Francesco Orabona, editors, International Conference on Algorithmic Learning Theory, February 20-23, 2023, Singapore. Volume 201 of Proceedings of Machine Learning Research, pages 663-706, PMLR, 2023. [doi]

Abstract

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