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A Unifying Framework for Variance Reduction Algorithms for Finding
  Zeroes of Monotone Operators

A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators

22 June 2019
Xun Zhang
W. Haskell
Z. Ye
ArXivPDFHTML

Papers citing "A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators"

3 / 3 papers shown
Title
Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic
  Gradient Methods
Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic Gradient Methods
Martin Morin
Pontus Giselsson
27
4
0
13 Feb 2020
Cocoercivity, Smoothness and Bias in Variance-Reduced Stochastic
  Gradient Methods
Cocoercivity, Smoothness and Bias in Variance-Reduced Stochastic Gradient Methods
Martin Morin
Pontus Giselsson
20
2
0
21 Mar 2019
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
90
736
0
19 Mar 2014
1