Accelerating Stochastic Gradient Descent Using Antithetic Sampling

7 October 2018

Papers citing "Accelerating Stochastic Gradient Descent Using Antithetic Sampling"

12 / 12 papers shown

Title
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares Rong Zhu 39 33 0 02 Mar 2018
Safe Adaptive Importance Sampling Sebastian U. Stich Anant Raj Martin Jaggi 74 55 0 07 Nov 2017
Natasha 2: Faster Non-Convex Optimization Than SGD Zeyuan Allen-Zhu ODL 79 246 0 29 Aug 2017
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 252 3,226 0 15 Jun 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters Zeyuan Allen-Zhu Yang Yuan Karthik Sridharan 83 28 0 05 Feb 2016
Stochastic Dual Coordinate Ascent with Adaptive Probabilities Dominik Csiba Zheng Qu Peter Richtárik ODL 122 97 0 27 Feb 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
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling P. Zhao Tong Zhang 76 91 0 13 May 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 160 739 0 19 Mar 2014
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 105 346 0 13 Jan 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 160 576 0 08 Dec 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 190 1,033 0 10 Sep 2012