Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity

Pritish Kamath, Omar Montasser, Nathan Srebro. Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. In Jacob D. Abernethy, Shivani Agarwal 0001, editors, Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria]. Volume 125 of Proceedings of Machine Learning Research, pages 2236-2262, PMLR, 2020. [doi]

Abstract

Abstract is missing.