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 / 96 papers shown

Title
Fast sparse optimization via adaptive shrinkage V. Cerone S. Fosson D. Regruto 67 5 0 21 Jan 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 42 1 0 18 Oct 2024
Consensus Planning with Primal, Dual, and Proximal Agents Alvaro Maggiar Lee Dicker Michael Mahoney 17 2 0 29 Aug 2024
An Optimal Control Formulation of Tool Affordance Applied to Impact Tasks Boyang Ti Yongsheng Gao Jie Zhao Sylvain Calinon 28 2 0 08 Feb 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie Yang Siheng Chen FedML 32 0 0 16 Jan 2024
ITRE: Low-light Image Enhancement Based on Illumination Transmission Ratio Estimation Yu Wang Yihong Wang Tong Liu Xiubao Sui Qian Chen 19 4 0 08 Oct 2023
$An ADMM Solver for the MKL-$L_{0/1}$-SVM$ An ADMM Solver for the MKL- $L_{0/1}$ -SVM Yijie Shi Bin Zhu VLM 13 1 0 08 Mar 2023
Federated Learning Using Three-Operator ADMM Shashi Kant J. M. B. D. Silva Gábor Fodor B. Goransson M. Bengtsson Carlo Fischione FedML 19 5 0 08 Nov 2022
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee Bo Shen Weijun Xie Zhen Kong 45 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 22 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 30 17 0 06 Jan 2022
Distributed Sparse Feature Selection in Communication-Restricted Networks Hanie Barghi Amir Najafi S. Motahari 16 2 0 02 Nov 2021
Network Clustering for Latent State and Changepoint Detection Madeline Navarro Genevera I. Allen Michael Weylandt 28 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 19 10 0 18 Oct 2021
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement Chuanjun Zheng D. Shi Wentian Shi 157 99 0 03 Oct 2021
Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints A. Pedram Riku Funada Takashi Tanaka 25 3 0 27 Sep 2021
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models Babak Barazandeh Ali Ghafelebashi Meisam Razaviyayn Ram Sriharsha 35 3 0 12 May 2021
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering Michael Weylandt T. Roddenberry Genevera I. Allen 17 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 50 111 0 02 Dec 2020
Decomposition of Longitudinal Deformations via Beltrami Descriptors H. Law L. Lui Chunyin Siu MedIm 18 2 0 06 Aug 2020
Scalable Synthesis of Minimum-Information Linear-Gaussian Control by Distributed Optimization Murat Cubuktepe Takashi Tanaka Ufuk Topcu 23 2 0 06 Apr 2020
Model Agnostic Multilevel Explanations Karthikeyan N. Ramamurthy B. Vinzamuri Yunfeng Zhang Amit Dhurandhar 26 41 0 12 Mar 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure Dewei Zhang Yin Liu S. Tajbakhsh 16 2 0 10 Jan 2020
Distributed Machine Learning with Sparse Heterogeneous Data Dominic Richards S. Negahban Patrick Rebeschini FedML 18 6 0 03 Dec 2019
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression Jiajin Li Sen Huang Anthony Man-Cho So OOD 32 12 0 28 Oct 2019
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity Peijun Xiao Zhisheng Xiao Ruoyu Sun 30 1 0 10 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 6 14 0 01 Oct 2019
Inertial nonconvex alternating minimizations for the image deblurring Tao Sun R. Barrio Marcos Rodríguez Hao Jiang 21 12 0 27 Jul 2019
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence A. Gonçalves Xiaoliang Liu A. Banerjee 16 5 0 10 Jul 2019
On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems Mingxi Zhu Krešimir Mihić Yinyu Ye 9 3 0 03 Jul 2019
A Fine-Grained Variant of the Hierarchy of Lasserre Wann-Jiun Ma Jakub Mareˇcek M. Mevissen 11 2 0 23 Jun 2019
Learning Correlated Latent Representations with Adaptive Priors Da Tang Dawen Liang Nicholas Ruozzi Tony Jebara BDL CML 16 1 0 14 Jun 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 19 110 0 12 Jun 2019
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks Pu Zhao Siyue Wang Cheng Gongye Yanzhi Wang Yunsi Fei X. Lin AAML 11 75 0 28 May 2019
Tight Linear Convergence Rate of ADMM for Decentralized Optimization Meng Ma Bingcong Li G. Giannakis 17 2 0 24 May 2019
Scale Invariant Power Iteration Cheolmin Kim Youngseok Kim Diego Klabjan 16 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 29 75 0 01 May 2019
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms Nhat Ho Tianyi Lin Michael I. Jordan 33 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 X. Lin Yongpan Liu Yanzhi Wang MQ 38 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 18 5 0 20 Feb 2019
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression Samy Wu Fung Sanna Tyrväinen Lars Ruthotto E. Haber 22 0 0 27 Jan 2019
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization Michael Weylandt John Nagorski Genevera I. Allen 19 32 0 06 Jan 2019
Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data Zekun Xu Eric B. Laber A. Staicu 11 5 0 04 Dec 2018
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets Yawei Zhao Kai Xu Xinwang Liu En Zhu Xinzhong Zhu Jianping Yin 17 27 0 20 Aug 2018
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM G. França Daniel P. Robinson René Vidal 10 18 0 13 Aug 2018
Inferring Parameters Through Inverse Multiobjective Optimization Chaosheng Dong Bo Zeng 11 12 0 02 Aug 2018
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs Tianyun Zhang Shaokai Ye Kaiqi Zhang Xiaolong Ma Ning Liu ... Jian Tang Kaisheng Ma Xue Lin M. Fardad Yanzhi Wang 31 50 0 29 Jul 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks Pu Zhao Sijia Liu Yanzhi Wang X. Lin AAML 22 37 0 09 Apr 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method Gauthier Gidel Fabian Pedregosa Simon Lacoste-Julien 17 30 0 09 Apr 2018
Fast Decentralized Optimization over Networks Meng Ma A. Nikolakopoulos G. Giannakis 13 3 0 06 Apr 2018