On the Benefits of Large Learning Rates for Kernel Methods

28 February 2022

Papers citing "On the Benefits of Large Learning Rates for Kernel Methods"

5 / 5 papers shown

Title
Learning threshold neurons via the "edge of stability" Kwangjun Ahn Sébastien Bubeck Sinho Chewi Y. Lee Felipe Suarez Yi Zhang MLT 38 36 0 14 Dec 2022
SGD with Large Step Sizes Learns Sparse Features Maksym Andriushchenko Aditya Varre Loucas Pillaud-Vivien Nicolas Flammarion 45 56 0 11 Oct 2022
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima Peter L. Bartlett Philip M. Long Olivier Bousquet 76 34 0 04 Oct 2022
Stochastic Training is Not Necessary for Generalization Jonas Geiping Micah Goldblum Phillip E. Pope Michael Moeller Tom Goldstein 89 72 0 29 Sep 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski Devansh Arpit Oliver Åstrand Giancarlo Kerg Huan Wang Caiming Xiong R. Socher Kyunghyun Cho Krzysztof J. Geras AI4CE 184 65 0 28 Dec 2020