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Bregman Alternating Direction Method of Multipliers

13 June 2013

Huahua Wang

Papers citing "Bregman Alternating Direction Method of Multipliers"

48 / 48 papers shown

Title
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization Wenrui Yu Yiyi Chen Johannes Bjerva Sokol Kosta Qiongxiu Li 58 0 0 21 May 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Rudolf Reiter Jasper Hoffmann D. Reinhardt Florian Messerer Katrin Baumgärtner Shamburaj Sawant Joschka Boedecker Moritz Diehl S. Gros 123 5 0 04 Feb 2025
Consensus Planning with Primal, Dual, and Proximal Agents Alvaro Maggiar Lee Dicker Michael Mahoney 33 2 0 29 Aug 2024
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 71 1 0 18 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 92 20 0 22 Sep 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 100 2 0 28 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 79 4 0 13 Dec 2022
Federated Learning Using Three-Operator ADMM Shashi Kant J. M. B. D. Silva Gábor Fodor B. Goransson M. Bengtsson Carlo Fischione FedML 41 5 0 08 Nov 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion Zipeng Fu Xuxin Cheng Deepak Pathak 102 159 0 18 Oct 2022
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 54 3 0 05 Jul 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 75 14 0 30 May 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 77 30 0 09 Feb 2022
Revisiting Global Pooling through the Lens of Optimal Transport Minjie Cheng Hongteng Xu 30 0 0 23 Jan 2022
A Provably Convergent Information Bottleneck Solution via ADMM Tengfei Huang Aly El Gamal 50 6 0 09 Feb 2021
Hawkes Processes on Graphons Hongteng Xu Dixin Luo H. Zha 65 1 0 04 Feb 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 81 14 0 16 Nov 2020
Improved Hierarchical ADMM for Nonconvex Cooperative Distributed Model Predictive Control Xiaoxue Zhang Jun Ma Zilong Cheng Sunan Huang C. D. Silva Tong-heng Lee 67 5 0 01 Nov 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 69 11 0 08 Sep 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao 26 9 0 04 Jul 2020
Hyperspectral-Multispectral Image Fusion with Weighted LASSO Nguyen H. Tran Rupali Mankar D. Mayerich Zhu Han 24 4 0 15 Mar 2020
Deep Learning for Learning Graph Representations Wenwu Zhu Xin Eric Wang Peng Cui GNN AI4CE 50 23 0 02 Jan 2020
Analysis Co-Sparse Coding for Energy Disaggregation Shikha Singh A. Majumdar 17 36 0 11 Dec 2019
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 92 51 0 19 Nov 2019
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence A. Gonçalves Xiaoliang Liu A. Banerjee 33 5 0 10 Jul 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem Dongdong Ge Haoyue Wang Zikai Xiong Yinyu Ye 64 28 0 30 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 46 10 0 23 May 2019
$A Greedy Approach to $\ell_{0,\infty}$ Based Convolutional Sparse Coding$ A Greedy Approach to $\ell_{0,\infty}$ Based Convolutional Sparse Coding Elad Plaut Raja Giryes 58 10 0 26 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu Xinyu Lin Xuehai Qian Yanzhi Wang MQ 51 65 0 12 Dec 2018
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters Lei Yang Jia Li Defeng Sun Kim-Chuan Toh 46 36 0 12 Sep 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
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion Kaiyi Ji Jian Tan Jinfeng Xu Yuejie Chi 68 3 0 16 Feb 2018
Deep Reinforcement Learning based Optimal Control of Hot Water Systems H. Kazmi Fahad Mehmood Stefan Lodeweyckx Johan Driesen AI4CE 30 72 0 04 Jan 2018
A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 74 7 0 12 Sep 2017
High-Dimensional Dependency Structure Learning for Physical Processes Jamal Golmohammadi I. Ebert‐Uphoff Sijie He Yi Deng A. Banerjee AI4CE 15 0 0 12 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
Learning to Optimize Neural Nets Ke Li Jitendra Malik 100 132 0 01 Mar 2017
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 96 155 0 03 Oct 2016
A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization Jianbo Ye James Z. Wang Jia Li 51 4 0 12 Aug 2016
Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising G. Papageorgiou P. Bouboulis Sergios Theodoridis 83 11 0 04 Jan 2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm Sangkyun Lee Damian Brzyski M. Bogdan 33 5 0 18 Nov 2015
Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support Jianbo Ye Panruo Wu Jianmin Wang Jia Li 110 133 0 30 Sep 2015
Smooth Alternating Direction Methods for Nonsmooth Constrained Convex Optimization Quoc Tran-Dinh Volkan Cevher 179 5 0 14 Jul 2015
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM Behnam Babagholami-Mohamadabadi Sejong Yoon Vladimir Pavlovic 60 6 0 03 Jul 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 321 3,446 0 02 Apr 2015
Global convergence of splitting methods for nonconvex composite optimization Guoyin Li Ting Kei Pong 143 406 0 03 Jul 2014
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh Volkan Cevher 114 17 0 20 Jun 2014
Generalized Dantzig Selector: Application to the k-support norm Soumyadeep Chatterjee Sheng Chen A. Banerjee 124 36 0 20 Jun 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