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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"

26 / 76 papers shown

Title
A Computational Framework for Multivariate Convex Regression and its Variants Rahul Mazumder Arkopal Choudhury G. Iyengar B. Sen 161 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 72 64 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 78 201 0 09 Sep 2015
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems Tianyi Lin Shiqian Ma Shuzhong Zhang 67 48 0 16 May 2015
Parallel Statistical Multi-resolution Estimation J. Lebert Lutz Künneke J. Hagemann S. Kramer 50 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 185 162 0 06 Mar 2015
First order algorithms in variational image processing Martin Burger Alex Sawatzky Gabriele Steidl 162 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 161 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 117 398 0 20 Jun 2014
Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins Aaditya Ramdas Javier F. Pena 100 26 0 20 Jun 2014
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach A. Jung 106 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-An Ma 64 36 0 31 Mar 2014
Parallel Selective Algorithms for Big Data Optimization F. Facchinei G. Scutari Simone Sagratella 159 168 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 113 13 0 20 Feb 2014
Alternating direction method of multipliers for penalized zero-variance discriminant analysis Brendan P. W. Ames Mingyi Hong 113 4 0 21 Jan 2014
Communication Efficient Distributed Optimization using an Approximate Newton-type Method Ohad Shamir Nathan Srebro Tong Zhang 109 557 0 30 Dec 2013
Codebook based Audio Feature Representation for Music Information Retrieval Yonatan Vaizman Brian McFee Gert R. G. Lanckriet 80 57 0 19 Dec 2013
Adaptive Stochastic Alternating Direction Method of Multipliers P. Zhao Jinwei Yang Tong Zhang Ping Li 93 19 0 16 Dec 2013
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers F. Iutzeler Pascal Bianchi P. Ciblat W. Hachem 120 127 0 04 Dec 2013
Flexible Parallel Algorithms for Big Data Optimization F. Facchinei Simone Sagratella G. Scutari 90 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 98 195 0 18 Oct 2013
Separable Approximations and Decomposition Methods for the Augmented Lagrangian R. Tappenden Peter Richtárik Burak Büke 122 41 0 30 Aug 2013
Fast Stochastic Alternating Direction Method of Multipliers Leon Wenliang Zhong James T. Kwok 94 116 0 16 Aug 2013
Bregman Alternating Direction Method of Multipliers Huahua Wang A. Banerjee 119 207 0 13 Jun 2013
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 106 208 0 21 Mar 2013
Algorithms for leader selection in stochastically forced consensus networks Fu Lin M. Fardad M. Jovanović 80 151 0 03 Feb 2013