Stochastic Variance Reduction for Nonconvex Optimization

19 March 2016

Papers citing "Stochastic Variance Reduction for Nonconvex Optimization"

24 / 124 papers shown

Title
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 36 200 0 20 Jul 2017
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints Bin Hu Peter M. Seiler Anders Rantzer 32 35 0 25 Jun 2017
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization Lam M. Nguyen Jie Liu K. Scheinberg Martin Takáč 16 94 0 20 May 2017
Sub-sampled Cubic Regularization for Non-convex Optimization Jonas Köhler Aurelien Lucchi 19 165 0 16 May 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization Qunwei Li Yi Zhou Yingbin Liang P. Varshney 21 94 0 14 May 2017
Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization Feihu Huang Songcan Chen 6 2 0 26 Apr 2017
Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij Christoph H. Lampert MLT 14 165 0 05 Mar 2017
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient Lam M. Nguyen Jie Liu K. Scheinberg Martin Takáč ODL 44 598 0 01 Mar 2017
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter Zeyuan Allen-Zhu 23 80 0 02 Feb 2017
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization Feihu Huang Songcan Chen Zhaosong Lu 30 14 0 10 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 71 1,877 0 08 Oct 2016
Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method Lihua Lei Michael I. Jordan 29 96 0 12 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016
Stochastic Frank-Wolfe Methods for Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 32 139 0 27 Jul 2016
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Tianlin Li Shiqian Ma D. Goldfarb Wen Liu 26 177 0 05 Jul 2016
Variance-Reduced Proximal Stochastic Gradient Descent for Non-convex Composite optimization Xiyu Yu Dacheng Tao 32 5 0 02 Jun 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds Hongyi Zhang Sashank J. Reddi S. Sra 41 240 0 23 May 2016
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 31 54 0 23 May 2016
Barzilai-Borwein Step Size for Stochastic Gradient Descent Conghui Tan Shiqian Ma Yuhong Dai Yuqiu Qian 45 182 0 13 May 2016
Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization Tianbao Yang Qihang Lin Zhe Li 14 122 0 12 Apr 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 38 390 0 17 Mar 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent Linnan Wang Yi Yang Martin Renqiang Min S. Chakradhar 21 91 0 17 Mar 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010