Cocoercivity, Smoothness and Bias in Variance-Reduced Stochastic Gradient Methods

21 March 2019

Papers citing "Cocoercivity, Smoothness and Bias in Variance-Reduced Stochastic Gradient Methods"

7 / 7 papers shown

Title
Variance Reduction for Matrix Games Y. Carmon Yujia Jin Aaron Sidford Kevin Tian 29 65 0 03 Jul 2019
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop D. Kovalev Samuel Horváth Peter Richtárik 54 156 0 24 Jan 2019
Stochastic Variance Reduction Methods for Saddle-Point Problems B. Palaniappan Francis R. Bach 109 212 0 20 May 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 84 1,817 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 135 738 0 19 Mar 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 217 1,245 0 10 Sep 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 78 1,031 0 10 Sep 2012