Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization

17 May 2018

Papers citing "Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization"

50 / 60 papers shown

Title
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 80 1 0 17 Jan 2025
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions Andrea Testa Guido Carnevale G. Notarstefano 57 11 0 08 Sep 2023
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs G. Scutari Ying Sun 63 173 0 04 Sep 2018
Distributed Big-Data Optimization via Block Communications Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 46 11 0 27 May 2018
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 27 13 0 02 May 2018
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization Fabian Pedregosa Rémi Leblond Simon Lacoste-Julien 33 34 0 20 Jul 2017
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization Ivano Notarnicola G. Notarstefano 33 10 0 24 Mar 2017
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 90 90 0 05 Dec 2016
Distributed Nonconvex Optimization for Sparse Representation Ying Sun G. Scutari 30 19 0 20 Nov 2016
A Primer on Coordinate Descent Algorithms Hao-Jun Michael Shi Shenyinying Tu Yangyang Xu W. Yin 59 89 0 30 Sep 2016
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks Ying Sun G. Scutari Daniel P. Palomar 58 89 0 01 Jul 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 171 3,191 0 15 Jun 2016
ASAGA: Asynchronous Parallel SAGA Rémi Leblond Fabian Pedregosa Simon Lacoste-Julien AI4TS 50 101 0 15 Jun 2016
Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization Zhouyuan Huo Heng-Chiao Huang 45 48 0 12 Apr 2016
A survey of sparse representation: algorithms and applications Zheng Zhang Yong-mei Xu Jian Yang Xuelong Li David C. Zhang AI4TS 53 988 0 23 Feb 2016
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation Konstantinos Benidis Ying Sun P. Babu Daniel P. Palomar 111 56 0 12 Feb 2016
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro 11 124 0 01 Feb 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 82 503 0 01 Feb 2016
Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications G. Scutari F. Facchinei Lorenzo Lampariello Peiran Song Stefania Sardellitti 19 257 0 15 Jan 2016
MM Algorithms for Variance Components Models Hua Zhou Liuyi Hu Jin J. Zhou K. Lange 18 35 0 24 Sep 2015
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization Horia Mania Xinghao Pan Dimitris Papailiopoulos Benjamin Recht Kannan Ramchandran Michael I. Jordan 69 231 0 24 Jul 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian Yijun Huang Y. Li Ji Liu 132 499 0 27 Jun 2015
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions Ying Sun P. Babu Daniel P. Palomar 26 97 0 17 Jun 2015
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates Zhimin Peng Yangyang Xu Ming Yan W. Yin 43 258 0 08 Jun 2015
Sketch and Validate for Big Data Clustering Panagiotis A. Traganitis Konstantinos Slavakis G. Giannakis 21 29 0 22 Jan 2015
A Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems Yang Yang G. Scutari Daniel P. Palomar M. Pesavento 26 17 0 19 Oct 2014
MIST: L0 Sparse Linear Regression with Momentum G. Marjanovic M. Ulfarsson Alfred Hero 23 12 0 25 Sep 2014
Sparse Generalized Eigenvalue Problem via Smooth Optimization Junxiao Song P. Babu Daniel P. Palomar 44 66 0 28 Aug 2014
L0 Sparse Inverse Covariance Estimation G. Marjanovic Alfred Hero 328 38 0 05 Aug 2014
Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization Amir Daneshmand F. Facchinei Vyacheslav Kungurtsev G. Scutari 46 60 0 16 Jul 2014
DC approximation approaches for sparse optimization Hoai An Le Thi T. P. Dinh L. Minh X. T. Vo 56 197 0 01 Jul 2014
Parallel Selective Algorithms for Big Data Optimization F. Facchinei G. Scutari Simone Sagratella 49 168 0 22 Feb 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 129 317 0 18 Feb 2014
Asynchronous Adaptation and Learning over Networks --- Part I: Modeling and Stability Analysis Xiaochuan Zhao Ali H. Sayed 60 81 0 19 Dec 2013
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion Hyokun Yun Hsiang-Fu Yu Cho-Jui Hsieh S.V.N. Vishwanathan Inderjit Dhillon 64 125 0 01 Dec 2013
On Optimal Probabilities in Stochastic Coordinate Descent Methods Peter Richtárik Martin Takáč 55 130 0 13 Oct 2013
Phase Retrieval using Alternating Minimization Praneeth Netrapalli Prateek Jain Sujay Sanghavi 140 632 0 02 Jun 2013
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers F. Iutzeler Pascal Bianchi P. Ciblat W. Hachem 44 181 0 12 Mar 2013
Distributed optimization over time-varying directed graphs A. Nedić Alexander Olshevsky 40 993 0 10 Mar 2013
Update Rules for Parameter Estimation in Bayesian Networks Eric Bauer D. Koller Y. Singer 53 126 0 06 Feb 2013
Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes Peter Richtárik Majid Jahani S. Ahipaşaoğlu Martin Takáč 38 29 0 17 Dec 2012
Parallel Coordinate Descent Methods for Big Data Optimization Peter Richtárik Martin Takáč 80 487 0 04 Dec 2012
Low-rank Matrix Completion using Alternating Minimization Prateek Jain Praneeth Netrapalli Sujay Sanghavi 132 1,066 0 03 Dec 2012
Large-Scale Sparse Principal Component Analysis with Application to Text Data Youwei Zhang L. Ghaoui 63 73 0 26 Oct 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization Konstantinos I. Tsianos Sean F. Lawlor Michael G. Rabbat 48 81 0 05 Sep 2012
Diffusion Adaptation over Networks Ali H. Sayed 70 446 0 18 May 2012
Distributed Robust Power System State Estimation V. Kekatos G. Giannakis 50 472 0 04 Apr 2012
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications Morteza Mardani Gonzalo Mateos G. Giannakis 54 76 0 07 Mar 2012
Performance of a Distributed Stochastic Approximation Algorithm Pascal Bianchi G. Fort W. Hachem 59 117 0 07 Mar 2012
Truncated Power Method for Sparse Eigenvalue Problems Xiao-Tong Yuan Tong Zhang 60 328 0 12 Dec 2011