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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"

50 / 74 papers shown

Title
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 216 1 0 18 Oct 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie Yang Siheng Chen FedML 66 0 0 16 Jan 2024
$An ADMM Solver for the MKL-$L_{0/1}$-SVM$ An ADMM Solver for the MKL- $L_{0/1}$ -SVM Yijie Shi Bin Zhu VLM 31 1 0 08 Mar 2023
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee Bo Shen Weijun Xie Zhen Kong 71 8 0 29 Mar 2022
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting Yicheng Chen Rick S. Blum Brian M. Sadler FedML 57 7 0 05 Feb 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training Yatong Bai Tanmay Gautam Somayeh Sojoudi AAML 99 17 0 06 Jan 2022
Distributed Sparse Feature Selection in Communication-Restricted Networks Hanie Barghi Amir Najafi S. Motahari 35 2 0 02 Nov 2021
Network Clustering for Latent State and Changepoint Detection Madeline Navarro Genevera I. Allen Michael Weylandt 50 4 0 01 Nov 2021
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization Yingpin Chen Yuming Huang Lingzhi Wang Huiying Huang Jianhua Song Chao-Liang Yu Yanping Xu 69 10 0 18 Oct 2021
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement Chuanjun Zheng D. Shi Wentian Shi 237 99 0 03 Oct 2021
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models Babak Barazandeh Ali Ghafelebashi Meisam Razaviyayn Ram Sriharsha 52 3 0 12 May 2021
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering Michael Weylandt T. Roddenberry Genevera I. Allen 51 4 0 08 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 105 115 0 02 Dec 2020
Decomposition of Longitudinal Deformations via Beltrami Descriptors H. Law L. Lui Chunyin Siu MedIm 138 2 0 06 Aug 2020
Scalable Synthesis of Minimum-Information Linear-Gaussian Control by Distributed Optimization Murat Cubuktepe Takashi Tanaka Ufuk Topcu 36 2 0 06 Apr 2020
Model Agnostic Multilevel Explanations Karthikeyan N. Ramamurthy B. Vinzamuri Yunfeng Zhang Amit Dhurandhar 88 43 0 12 Mar 2020
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression Jiajin Li Sen Huang Anthony Man-Cho So OOD 73 13 0 28 Oct 2019
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante Alexis Duburcq Y. Chevaleyre Nicolas Bredèche Guilhem Boéris 40 14 0 01 Oct 2019
Inertial nonconvex alternating minimizations for the image deblurring Tao Sun R. Barrio Marcos Rodríguez Hao Jiang 43 12 0 27 Jul 2019
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence A. Gonçalves Xiaoliang Liu A. Banerjee 28 5 0 10 Jul 2019
On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems Mingxi Zhu Krešimir Mihić Yinyu Ye 39 3 0 03 Jul 2019
Learning Correlated Latent Representations with Adaptive Priors Da Tang Dawen Liang Nicholas Ruozzi Tony Jebara BDL CML 37 1 0 14 Jun 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 53 114 0 12 Jun 2019
Tight Linear Convergence Rate of ADMM for Decentralized Optimization Meng Ma Bingcong Li G. Giannakis 59 2 0 24 May 2019
Scale Invariant Power Iteration Cheolmin Kim Youngseok Kim Diego Klabjan 63 3 0 23 May 2019
An ADMM Based Framework for AutoML Pipeline Configuration Sijia Liu Parikshit Ram Deepak Vijaykeerthy Djallel Bouneffouf Gregory Bramble Horst Samulowitz Dakuo Wang A. Conn Alexander G. Gray 97 76 0 01 May 2019
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms Nhat Ho Tianyi Lin Michael I. Jordan 107 2 0 16 Apr 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad Xinyu Lin Yongpan Liu Yanzhi Wang MQ 78 38 0 23 Mar 2019
A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm L. Tan Ling Li Wanquan Liu Jie Sun Hao Fei 25 5 0 20 Feb 2019
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression Samy Wu Fung Sanna Tyrväinen Lars Ruthotto E. Haber 32 0 0 27 Jan 2019
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets Yawei Zhao Kai Xu Xinwang Liu En Zhu Xinzhong Zhu Jianping Yin 61 27 0 20 Aug 2018
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM G. França Daniel P. Robinson René Vidal 63 18 0 13 Aug 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks Pu Zhao Sijia Liu Yanzhi Wang Xinyu Lin AAML 72 37 0 09 Apr 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method Gauthier Gidel Fabian Pedregosa Simon Lacoste-Julien 53 30 0 09 Apr 2018
Robust Decentralized Learning Using ADMM with Unreliable Agents Qunwei Li B. Kailkhura R. Goldhahn Priyadip Ray P. Varshney 66 18 0 14 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 56 7 0 12 Sep 2017
Probabilistic Rule Realization and Selection Haizi Yu Tianxi Li Lav Varshney 30 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 47 28 0 01 Sep 2017
Multi-view Low-rank Sparse Subspace Clustering Maria Brbic I. Kopriva 75 391 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 121 35 0 25 Jun 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions Robert Tibshirani 101 43 0 12 May 2017
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation Tianyi Chen Qing Ling G. Giannakis 67 20 0 05 Mar 2017
Distributed recovery of jointly sparse signals under communication constraints S. Fosson J. Matamoros C. Antón-Haro E. Magli FedML 54 24 0 08 Nov 2016
Distributed Convex Optimization with Many Convex Constraints Joachim Giesen Soren Laue 45 14 0 07 Oct 2016
Distributed Event Localization via Alternating Direction Method of Multipliers Chunlei Zhang Yongqiang Wang 87 27 0 13 Jul 2016
Accelerated first-order primal-dual proximal methods for linearly constrained composite convex programming Yangyang Xu 56 113 0 29 Jun 2016
Randomized Primal-Dual Proximal Block Coordinate Updates Xiang Gao Yangyang Xu Shuzhong Zhang 69 46 0 19 May 2016
Distributed Multi-Task Learning with Shared Representation Jialei Wang Mladen Kolar Nathan Srebro 42 22 0 07 Mar 2016
A Computational Framework for Multivariate Convex Regression and its Variants Rahul Mazumder Arkopal Choudhury G. Iyengar B. Sen 149 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 64 64 0 09 Sep 2015