Understanding Edge-of-Stability Training Dynamics with a Minimalist
Example

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

7 October 2022

Papers citing "Understanding Edge-of-Stability Training Dynamics with a Minimalist Example"

11 / 11 papers shown

Title
Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes Ruiqi Zhang Jingfeng Wu Licong Lin Peter L. Bartlett 17 0 0 05 Apr 2025
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Dayal Singh Kalra Tianyu He M. Barkeshli 47 4 0 17 Feb 2025
Does SGD really happen in tiny subspaces? Minhak Song Kwangjun Ahn Chulhee Yun 47 4 1 25 May 2024
Sharpness-Aware Minimization and the Edge of Stability Philip M. Long Peter L. Bartlett AAML 19 9 0 21 Sep 2023
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond Itai Kreisler Mor Shpigel Nacson Daniel Soudry Y. Carmon 18 13 0 22 May 2023
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability Jingfeng Wu Vladimir Braverman Jason D. Lee 21 16 0 19 May 2023
Learning threshold neurons via the "edge of stability" Kwangjun Ahn Sébastien Bubeck Sinho Chewi Y. Lee Felipe Suarez Yi Zhang MLT 28 36 0 14 Dec 2022
Second-order regression models exhibit progressive sharpening to the edge of stability Atish Agarwala Fabian Pedregosa Jeffrey Pennington 20 26 0 10 Oct 2022
Understanding Gradient Descent on Edge of Stability in Deep Learning Sanjeev Arora Zhiyuan Li A. Panigrahi MLT 69 88 0 19 May 2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect Yuqing Wang Minshuo Chen T. Zhao Molei Tao AI4CE 52 40 0 07 Oct 2021
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 150 198 0 04 Mar 2020