Estimate Sequences for Variance-Reduced Stochastic Composite Optimization

7 May 2019

Papers citing "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization"

10 / 10 papers shown

Title
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 63 45 0 25 Jan 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 101 156 0 24 Jan 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 95 580 0 04 Jul 2018
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems Yossi Arjevani Ohad Shamir 43 24 0 30 Jun 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 66 130 0 20 May 2016
Variance Reduced Stochastic Gradient Descent with Neighbors Thomas Hofmann Aurelien Lucchi Simon Lacoste-Julien Brian McWilliams ODL 72 153 0 11 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 137 1,828 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 160 739 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 151 319 0 18 Feb 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 327 1,250 0 10 Sep 2013