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A variable metric mini-batch proximal stochastic recursive gradient
  algorithm with diagonal Barzilai-Borwein stepsize

A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize

2 October 2020
Tengteng Yu
Xinwei Liu
Yuhong Dai
Jie Sun
ArXivPDFHTML

Papers citing "A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize"

3 / 3 papers shown
Title
Variance Reduced Training with Stratified Sampling for Forecasting
  Models
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu
Youngsuk Park
Lifan Chen
Bernie Wang
Christopher De Sa
Dean Phillips Foster
AI4TS
38
17
0
02 Mar 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,204
0
16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
1