Estimate Sequences for Variance-Reduced Stochastic Composite Optimization

7 May 2019

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

9 / 9 papers shown

Title
SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge Rujun Jiang 40 0 0 19 Jul 2024
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent Sharan Vaswani Benjamin Dubois-Taine Reza Babanezhad 51 11 0 21 Oct 2021
Variance-Reduced Methods for Machine Learning Robert Mansel Gower Mark Schmidt Francis R. Bach Peter Richtárik 21 111 0 02 Oct 2020
Online Algorithms for Estimating Change Rates of Web Pages Konstantin Avrachenkov Kishor P. Patil Gugan Thoppe 19 16 0 17 Sep 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 39 0 0 26 Aug 2020
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings Mahmoud Assran Michael G. Rabbat 19 59 0 27 Feb 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 32 44 0 25 Jan 2019
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014