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Revisiting SGD with Increasingly Weighted Averaging: Optimization and
  Generalization Perspectives
v1v2v3 (latest)

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives

9 March 2020
Zhishuai Guo
Yan Yan
Tianbao Yang
    MoMe
ArXiv (abs)PDFHTML

Papers citing "Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives"

4 / 4 papers shown
Title
Symmetric Mean-field Langevin Dynamics for Distributional Minimax
  Problems
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim
Kakei Yamamoto
Kazusato Oko
Zhuoran Yang
Taiji Suzuki
68
10
0
02 Dec 2023
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters
  and Non-ergodic Case
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case
Meixuan He
Yuqing Liang
Jinlan Liu
Dongpo Xu
74
9
0
20 Jul 2023
On the Convergence of Step Decay Step-Size for Stochastic Optimization
On the Convergence of Step Decay Step-Size for Stochastic Optimization
Xiaoyu Wang
Sindri Magnússon
M. Johansson
88
23
0
18 Feb 2021
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex
  Optimization
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Wei Tao
Wei Li
Zhisong Pan
Qing Tao
MoMe
32
4
0
29 Dec 2020
1