Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization

8 February 2018

Papers citing "Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization"

27 / 27 papers shown

Title
Accelerated Variance Reduced Stochastic ADMM Yuanyuan Liu Fanhua Shang James Cheng 59 41 0 11 Jul 2017
Catalyst Acceleration for Gradient-Based Non-Convex Optimization Courtney Paquette Hongzhou Lin Dmitriy Drusvyatskiy Julien Mairal Zaïd Harchaoui ODL 48 40 0 31 Mar 2017
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter Zeyuan Allen-Zhu 59 80 0 02 Feb 2017
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization Feihu Huang Songcan Chen Zhaosong Lu 65 15 0 10 Oct 2016
A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning Aleksandr Aravkin Damek Davis 74 21 0 04 Oct 2016
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity Quanming Yao James T. Kwok 42 52 0 13 Jun 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization Davood Hajinezhad Mingyi Hong T. Zhao Zhaoran Wang 56 45 0 25 May 2016
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 100 54 0 23 May 2016
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction Xingguo Li R. Arora Han Liu Jarvis Haupt T. Zhao 46 68 0 09 May 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis Bo Jiang Tianyi Lin Shiqian Ma Shuzhong Zhang 47 146 0 09 May 2016
Stochastic Variance-Reduced ADMM Shuai Zheng James T. Kwok 83 60 0 24 Apr 2016
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 96 602 0 19 Mar 2016
Fast Incremental Method for Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 76 44 0 19 Mar 2016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods Zeyuan Allen-Zhu ODL 101 580 0 18 Mar 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 115 392 0 17 Mar 2016
Scalable Stochastic Alternating Direction Method of Multipliers Shen-Yi Zhao Wu-Jun Li Zhi Zhou 45 21 0 12 Feb 2015
Global convergence of splitting methods for nonconvex composite optimization Guoyin Li Ting Kei Pong 75 402 0 03 Jul 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 133 1,826 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 156 738 0 19 Mar 2014
Adaptive Stochastic Alternating Direction Method of Multipliers P. Zhao Jinwei Yang Tong Zhang Ping Li 57 19 0 16 Dec 2013
Fast Stochastic Alternating Direction Method of Multipliers Leon Wenliang Zhong James T. Kwok 83 116 0 16 Aug 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 181 1,033 0 10 Sep 2012
Online Alternating Direction Method Huahua Wang Arindam Banerjee 214 167 0 27 Jun 2012
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection Shiqian Ma Lingzhou Xue H. Zou 152 101 0 06 Jun 2012
The solution path of the generalized lasso Robert Tibshirani Jonathan E. Taylor 223 864 0 11 May 2010
A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network Seyoung Kim Kyung-ah Sohn Eric Xing 68 193 0 13 Nov 2008
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 215 5,041 0 10 Nov 2007