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Understanding Gradient Descent on Edge of Stability in Deep Learning

Understanding Gradient Descent on Edge of Stability in Deep Learning

19 May 2022
Sanjeev Arora
Zhiyuan Li
A. Panigrahi
    MLT
ArXivPDFHTML

Papers citing "Understanding Gradient Descent on Edge of Stability in Deep Learning"

16 / 16 papers shown
Title
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
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
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent
  Algorithm
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm
Jinwei Zhao
Marco Gori
Alessandro Betti
S. Melacci
Hongtao Zhang
Jiedong Liu
Xinhong Hei
18
0
0
10 Sep 2024
Does SGD really happen in tiny subspaces?
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
Sharpness-Aware Minimization and the Edge of Stability
Philip M. Long
Peter L. Bartlett
AAML
22
9
0
21 Sep 2023
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To
  Achieve Better Generalization
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Kaiyue Wen
Zhiyuan Li
Tengyu Ma
FAtt
19
26
0
20 Jul 2023
How to escape sharp minima with random perturbations
How to escape sharp minima with random perturbations
Kwangjun Ahn
Ali Jadbabaie
S. Sra
ODL
19
6
0
25 May 2023
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow
  Solutions in Scalar Networks and Beyond
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
Itai Kreisler
Mor Shpigel Nacson
Daniel Soudry
Y. Carmon
21
13
0
22 May 2023
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of
  Stability
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
Jingfeng Wu
Vladimir Braverman
Jason D. Lee
24
16
0
19 May 2023
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
Kayhan Behdin
Qingquan Song
Aman Gupta
S. Keerthi
Ayan Acharya
Borja Ocejo
Gregory Dexter
Rajiv Khanna
D. Durfee
Rahul Mazumder
AAML
13
7
0
19 Feb 2023
On a continuous time model of gradient descent dynamics and instability
  in deep learning
On a continuous time model of gradient descent dynamics and instability in deep learning
Mihaela Rosca
Yan Wu
Chongli Qin
Benoit Dherin
11
6
0
03 Feb 2023
Learning threshold neurons via the "edge of stability"
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
How Does Sharpness-Aware Minimization Minimize Sharpness?
How Does Sharpness-Aware Minimization Minimize Sharpness?
Kaiyue Wen
Tengyu Ma
Zhiyuan Li
AAML
18
47
0
10 Nov 2022
Understanding Edge-of-Stability Training Dynamics with a Minimalist
  Example
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Xingyu Zhu
Zixuan Wang
Xiang Wang
Mo Zhou
Rong Ge
59
35
0
07 Oct 2022
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines
  and Drifting Towards Wide Minima
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima
Peter L. Bartlett
Philip M. Long
Olivier Bousquet
60
34
0
04 Oct 2022
On the Implicit Bias in Deep-Learning Algorithms
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
19
72
0
26 Aug 2022
Understanding the unstable convergence of gradient descent
Understanding the unstable convergence of gradient descent
Kwangjun Ahn
J. Zhang
S. Sra
16
56
0
03 Apr 2022
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