Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning

23 March 2017

Papers citing "Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning"

7 / 7 papers shown

Title
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 84 129 0 16 Oct 2018
Double Quantization for Communication-Efficient Distributed Optimization Yue Yu Jiaxiang Wu Longbo Huang MQ 19 57 0 25 May 2018
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/ε)$ Yi Tian Xu Yan Yan Qihang Lin Tianbao Yang 52 25 0 13 Jul 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,157 0 04 Mar 2015
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark W. Schmidt Francis R. Bach 128 259 0 10 Dec 2012
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 571 0 08 Dec 2012