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Faster Stochastic Alternating Direction Method of Multipliers for
  Nonconvex Optimization

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization

4 August 2020
Feihu Huang
Songcan Chen
Heng-Chiao Huang
ArXivPDFHTML

Papers citing "Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization"

20 / 20 papers shown
Title
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
165
1,928
0
07 Sep 2019
SpiderBoost and Momentum: Faster Stochastic Variance Reduction
  Algorithms
SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms
Zhe Wang
Kaiyi Ji
Yi Zhou
Yingbin Liang
Vahid Tarokh
ODL
72
82
0
25 Oct 2018
Universal Stagewise Learning for Non-Convex Problems with Convergence on
  Averaged Solutions
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Zaiyi Chen
Zhuoning Yuan
Jinfeng Yi
Bowen Zhou
Enhong Chen
Tianbao Yang
43
58
0
20 Aug 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
87
577
0
04 Jul 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou
Pan Xu
Quanquan Gu
60
147
0
20 Jun 2018
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
Feihu Huang
Songcan Chen
42
21
0
08 Feb 2018
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Lam M. Nguyen
Jie Liu
K. Scheinberg
Martin Takáč
55
94
0
20 May 2017
SARAH: A Novel Method for Machine Learning Problems Using Stochastic
  Recursive Gradient
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M. Nguyen
Jie Liu
K. Scheinberg
Martin Takáč
ODL
157
603
0
01 Mar 2017
Stochastic Alternating Direction Method of Multipliers with Variance
  Reduction for Nonconvex Optimization
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
Feihu Huang
Songcan Chen
Zhaosong Lu
57
15
0
10 Oct 2016
Efficient Learning with a Family of Nonconvex Regularizers by
  Redistributing Nonconvexity
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Quanming Yao
James T. Kwok
42
52
0
13 Jun 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and
  Iteration Complexity Analysis
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo Jiang
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
42
0
0
09 May 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor
R. Burmeister
Zheng Xu
Bharat Singh
Ankit B. Patel
Tom Goldstein
ODL
54
276
0
06 May 2016
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
73
60
0
24 Apr 2016
Global convergence of splitting methods for nonconvex composite
  optimization
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li
Ting Kei Pong
61
402
0
03 Jul 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
131
1,823
0
01 Jul 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
120
1,549
0
22 Sep 2013
Fast Stochastic Alternating Direction Method of Multipliers
Fast Stochastic Alternating Direction Method of Multipliers
Leon Wenliang Zhong
James T. Kwok
78
116
0
16 Aug 2013
Online Alternating Direction Method
Online Alternating Direction Method
Huahua Wang
Arindam Banerjee
212
167
0
27 Jun 2012
A Multivariate Regression Approach to Association Analysis of
  Quantitative Trait Network
A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network
Seyoung Kim
Kyung-ah Sohn
Eric Xing
63
193
0
13 Nov 2008
Enhancing Sparsity by Reweighted L1 Minimization
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
212
5,039
0
10 Nov 2007
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