Bregman Alternating Direction Method of Multipliers

13 June 2013

Huahua Wang

Papers citing "Bregman Alternating Direction Method of Multipliers"

24 / 24 papers shown

Title
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 29 17 0 22 Sep 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 43 4 0 13 Dec 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion Zipeng Fu Xuxin Cheng Deepak Pathak 19 144 0 18 Oct 2022
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 26 3 0 05 Jul 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 46 13 0 30 May 2022
A Provably Convergent Information Bottleneck Solution via ADMM Tengfei Huang Aly El Gamal 25 6 0 09 Feb 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 36 14 0 16 Nov 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 30 10 0 08 Sep 2020
Hyperspectral-Multispectral Image Fusion with Weighted LASSO Nguyen H. Tran Rupali Mankar D. Mayerich Zhu Han 11 4 0 15 Mar 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 25 49 0 19 Nov 2019
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 14 64 0 12 Dec 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks Pu Zhao Sijia Liu Yanzhi Wang Xinyu Lin AAML 28 37 0 09 Apr 2018
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion Kaiyi Ji Jian Tan Jinfeng Xu Yuejie Chi 31 3 0 16 Feb 2018
Deep Reinforcement Learning based Optimal Control of Hot Water Systems H. Kazmi Fahad Mehmood Stefan Lodeweyckx Johan Driesen AI4CE 10 72 0 04 Jan 2018
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
Learning to Optimize Neural Nets Ke Li Jitendra Malik 23 130 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 26 155 0 03 Oct 2016
A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization Jianbo Ye James Z. Wang Jia Li 19 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 23 11 0 04 Jan 2016
Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support Jianbo Ye Panruo Wu Jianmin Wang Jia Li 17 132 0 30 Sep 2015
Smooth Alternating Direction Methods for Nonsmooth Constrained Convex Optimization Quoc Tran-Dinh V. Cevher 19 5 0 14 Jul 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 52 3,402 0 02 Apr 2015
Global convergence of splitting methods for nonconvex composite optimization Guoyin Li Ting Kei Pong 47 401 0 03 Jul 2014
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh V. Cevher 34 47 0 20 Jun 2014