On the Linear Convergence of the Alternating Direction Method of Multipliers

20 August 2012

Papers citing "On the Linear Convergence of the Alternating Direction Method of Multipliers"

46 / 96 papers shown

Title
Robust Decentralized Learning Using ADMM with Unreliable Agents Qunwei Li B. Kailkhura R. Goldhahn Priyadip Ray P. Varshney 22 18 0 14 Oct 2017
How is Distributed ADMM Affected by Network Topology? G. Francca José Bento 16 19 0 02 Oct 2017
A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 27 7 0 12 Sep 2017
Probabilistic Rule Realization and Selection Haizi Yu Tianxi Li Lav Varshney 18 6 0 06 Sep 2017
Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 25 28 0 01 Sep 2017
Multi-view Low-rank Sparse Subspace Clustering Maria Brbic I. Kopriva 9 385 0 29 Aug 2017
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints Bin Hu Peter M. Seiler Anders Rantzer 30 35 0 25 Jun 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions R. Tibshirani 21 42 0 12 May 2017
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation Tianyi Chen Qing Ling G. Giannakis 28 20 0 05 Mar 2017
Upper-Bounding the Regularization Constant for Convex Sparse Signal Reconstruction Renliang Gu Aleksandar Dogandvzić 17 0 0 25 Feb 2017
Distributed recovery of jointly sparse signals under communication constraints S. Fosson J. Matamoros C. Antón-Haro E. Magli FedML 21 24 0 08 Nov 2016
Distributed Convex Optimization with Many Convex Constraints Joachim Giesen Soren Laue 15 14 0 07 Oct 2016
ADMM for Distributed Dynamic Beamforming M. Maros Joakim Jaldén 11 22 0 12 Aug 2016
Distributed Event Localization via Alternating Direction Method of Multipliers Chunlei Zhang Yongqiang Wang 36 27 0 13 Jul 2016
Accelerated first-order primal-dual proximal methods for linearly constrained composite convex programming Yangyang Xu 20 111 0 29 Jun 2016
Randomized Primal-Dual Proximal Block Coordinate Updates Xiang Gao Yangyang Xu Shuzhong Zhang 14 46 0 19 May 2016
Distributed Multi-Task Learning with Shared Representation Jialei Wang Mladen Kolar Nathan Srebro 18 22 0 07 Mar 2016
Stochastic Parallel Block Coordinate Descent for Large-scale Saddle Point Problems Zhanxing Zhu Amos J. Storkey ODL 13 7 0 23 Nov 2015
A Direct Approach for Sparse Quadratic Discriminant Analysis Binyan Jiang Xiangyu Wang Chenlei Leng 31 47 0 01 Oct 2015
A Computational Framework for Multivariate Convex Regression and its Variants Rahul Mazumder Arkopal Choudhury G. Iyengar B. Sen 9 82 0 28 Sep 2015
Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance Tsung-Hui Chang Wei-Cheng Liao Mingyi Hong Xiangfeng Wang 23 63 0 09 Sep 2015
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis Tsung-Hui Chang Mingyi Hong Wei-Cheng Liao Xiangfeng Wang 14 199 0 09 Sep 2015
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems Tianyi Lin Shiqian Ma Shuzhong Zhang 13 48 0 16 May 2015
Parallel Statistical Multi-resolution Estimation J. Lebert Lutz Künneke J. Hagemann S. Kramer 21 2 0 10 Mar 2015
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements Wenfei Cao Yao Wang Jian Sun Deyu Meng Can Yang A. Cichocki Zongben Xu 25 160 0 06 Mar 2015
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation Konstantinos Slavakis G. Giannakis 21 1 0 29 Jan 2015
First order algorithms in variational image processing Martin Burger Alex Sawatzky Gabriele Steidl 38 82 0 13 Dec 2014
Large-scale randomized-coordinate descent methods with non-separable linear constraints Sashank J. Reddi Ahmed S. Hefny Carlton Downey Kumar Avinava Dubey S. Sra 29 19 0 09 Sep 2014
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems N. Komodakis J. Pesquet 31 394 0 20 Jun 2014
Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins Aaditya Ramdas Javier F. Pena 32 26 0 20 Jun 2014
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach A. Jung 45 31 0 04 Apr 2014
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images Kui Jia Tsung-Han Chan Zinan Zeng Shenghua Gao G. Wang Tianzhu Zhang Yi Ma 31 36 0 31 Mar 2014
Parallel Selective Algorithms for Big Data Optimization F. Facchinei G. Scutari Simone Sagratella 33 168 0 22 Feb 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition Hanie Sedghi Anima Anandkumar E. Jonckheere 56 13 0 20 Feb 2014
Alternating direction method of multipliers for penalized zero-variance discriminant analysis Brendan P. W. Ames Mingyi Hong 42 4 0 21 Jan 2014
Communication Efficient Distributed Optimization using an Approximate Newton-type Method Ohad Shamir Nathan Srebro Tong Zhang 35 550 0 30 Dec 2013
Codebook based Audio Feature Representation for Music Information Retrieval Yonatan Vaizman Brian McFee Gert R. G. Lanckriet 38 57 0 19 Dec 2013
Adaptive Stochastic Alternating Direction Method of Multipliers P. Zhao Jinwei Yang Tong Zhang Ping Li 32 19 0 16 Dec 2013
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers F. Iutzeler Pascal Bianchi P. Ciblat W. Hachem 46 127 0 04 Dec 2013
Flexible Parallel Algorithms for Big Data Optimization F. Facchinei Simone Sagratella G. Scutari 43 30 0 11 Nov 2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin Risheng Liu Zhixun Su 26 193 0 18 Oct 2013
Separable Approximations and Decomposition Methods for the Augmented Lagrangian R. Tappenden Peter Richtárik Burak Büke 31 41 0 30 Aug 2013
Fast Stochastic Alternating Direction Method of Multipliers Leon Wenliang Zhong James T. Kwok 44 115 0 16 Aug 2013
Bregman Alternating Direction Method of Multipliers Huahua Wang A. Banerjee 21 203 0 13 Jun 2013
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 36 206 0 21 Mar 2013
Algorithms for leader selection in stochastically forced consensus networks Fu Lin M. Fardad M. Jovanović 37 149 0 03 Feb 2013