Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems

8 March 2016

Papers citing "Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems"

7 / 7 papers shown

Title
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields Mark Schmidt Reza Babanezhad Mohamed Osama Ahmed Aaron Defazio Ann Clifton Anoop Sarkar 78 83 0 16 Apr 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 135 1,828 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 158 739 0 19 Mar 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 324 1,250 0 10 Sep 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang ODL 112 151 0 12 May 2013
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 120 315 0 22 Jun 2011
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 273 685 0 07 Dec 2010