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Law of Balance and Stationary Distribution of Stochastic Gradient
  Descent

Law of Balance and Stationary Distribution of Stochastic Gradient Descent

13 August 2023
Liu Ziyin
Hongchao Li
Masakuni Ueda
ArXivPDFHTML

Papers citing "Law of Balance and Stationary Distribution of Stochastic Gradient Descent"

8 / 8 papers shown
Title
Posterior Collapse of a Linear Latent Variable Model
Posterior Collapse of a Linear Latent Variable Model
Zihao Wang
Liu Ziyin
BDL
51
22
0
09 May 2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Yuqing Wang
Minshuo Chen
T. Zhao
Molei Tao
AI4CE
68
40
0
07 Oct 2021
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of
  Stochasticity
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Scott Pesme
Loucas Pillaud-Vivien
Nicolas Flammarion
39
100
0
17 Jun 2021
Implicit Gradient Regularization
Implicit Gradient Regularization
David Barrett
Benoit Dherin
45
149
0
23 Sep 2020
Analysis of Stochastic Gradient Descent in Continuous Time
Analysis of Stochastic Gradient Descent in Continuous Time
J. Latz
47
38
0
15 Apr 2020
Is Local SGD Better than Minibatch SGD?
Is Local SGD Better than Minibatch SGD?
Blake E. Woodworth
Kumar Kshitij Patel
Sebastian U. Stich
Zhen Dai
Brian Bullins
H. B. McMahan
Ohad Shamir
Nathan Srebro
FedML
42
254
0
18 Feb 2020
The Power of Interpolation: Understanding the Effectiveness of SGD in
  Modern Over-parametrized Learning
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma
Raef Bassily
M. Belkin
41
289
0
18 Dec 2017
Stochastic Gradient Descent as Approximate Bayesian Inference
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt
Matthew D. Hoffman
David M. Blei
BDL
32
594
0
13 Apr 2017
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