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A Coefficient Makes SVRG Effective

A Coefficient Makes SVRG Effective

9 November 2023
Yida Yin
Zhiqiu Xu
Zhiyuan Li
Trevor Darrell
Zhuang Liu
ArXivPDFHTML

Papers citing "A Coefficient Makes SVRG Effective"

5 / 5 papers shown
Title
Convergence Analysis of alpha-SVRG under Strong Convexity
Convergence Analysis of alpha-SVRG under Strong Convexity
Sean Xiao
Sangwoo Park
Stefan Vlaski
48
0
0
16 Mar 2025
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,600
0
04 May 2021
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
76
736
0
19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
60
317
0
18 Feb 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,633
0
03 Jul 2012
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