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Stochastic Variance Reduction for Nonconvex Optimization

Stochastic Variance Reduction for Nonconvex Optimization

19 March 2016
Sashank J. Reddi
Ahmed S. Hefny
S. Sra
Barnabás Póczós
Alex Smola
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Papers citing "Stochastic Variance Reduction for Nonconvex Optimization"

11 / 111 papers shown
Title
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
21
138
0
27 Jul 2016
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Tianlin Li
Shiqian Ma
D. Goldfarb
Wei Liu
24
177
0
05 Jul 2016
Variance-Reduced Proximal Stochastic Gradient Descent for Non-convex Composite optimization
Xiyu Yu
Dacheng Tao
21
5
0
02 Jun 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang
Sashank J. Reddi
S. Sra
36
240
0
23 May 2016
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
23
54
0
23 May 2016
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan
Shiqian Ma
Yuhong Dai
Yuqiu Qian
40
182
0
13 May 2016
Unified Convergence Analysis of Stochastic Momentum Methods for Convex
  and Non-convex Optimization
Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
Tianbao Yang
Qihang Lin
Zhe Li
9
122
0
12 Apr 2016
Variance Reduction for Faster Non-Convex Optimization
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu
Elad Hazan
ODL
21
390
0
17 Mar 2016
Accelerating Deep Neural Network Training with Inconsistent Stochastic
  Gradient Descent
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Linnan Wang
Yi Yang
Martin Renqiang Min
S. Chakradhar
18
91
0
17 Mar 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
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
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
179
683
0
07 Dec 2010
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