Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters

5 February 2016

Papers citing "Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters"

17 / 17 papers shown

Title
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu Zheng Qu Peter Richtárik Yang Yuan 64 171 0 30 Dec 2015
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization Roy Frostig Rong Ge Sham Kakade Aaron Sidford 34 150 0 24 Jun 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 96 195 0 23 Jun 2015
Variance Reduced Stochastic Gradient Descent with Neighbors Thomas Hofmann Aurelien Lucchi Simon Lacoste-Julien Brian McWilliams ODL 62 153 0 11 Jun 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang Xiao Lin 90 263 0 10 Sep 2014
On Data Preconditioning for Regularized Loss Minimization Tianbao Yang Rong Jin Shenghuo Zhu Qihang Lin 133 9 0 13 Aug 2014
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems Aaron Defazio T. Caetano Justin Domke 78 169 0 10 Jul 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 95 1,817 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 138 738 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 129 317 0 18 Feb 2014
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 57 343 0 13 Jan 2014
Semi-Stochastic Gradient Descent Methods Jakub Konecný Peter Richtárik ODL 84 238 0 05 Dec 2013
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 239 1,245 0 10 Sep 2013
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang ODL 75 462 0 10 Sep 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang ODL 81 150 0 12 May 2013
Proximal Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang 51 111 0 12 Nov 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 99 1,031 0 10 Sep 2012