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Disentangling the Mechanisms Behind Implicit Regularization in SGD

Disentangling the Mechanisms Behind Implicit Regularization in SGD

29 November 2022
Zachary Novack
Simran Kaur
Tanya Marwah
Saurabh Garg
Zachary Chase Lipton
    FedML
ArXivPDFHTML

Papers citing "Disentangling the Mechanisms Behind Implicit Regularization in SGD"

6 / 6 papers shown
Title
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
43
1
0
26 Aug 2024
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
Nikhil Vyas
Depen Morwani
Rosie Zhao
Gal Kaplun
Sham Kakade
Boaz Barak
MLT
8
1
0
14 Jun 2023
Anticorrelated Noise Injection for Improved Generalization
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto
Hans Kersting
F. Proske
Francis R. Bach
Aurélien Lucchi
50
44
0
06 Feb 2022
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
79
72
0
29 Sep 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts
  Generalization
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
177
64
0
28 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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