Convex Optimization for Big Data

4 November 2014

Papers citing "Convex Optimization for Big Data"

44 / 44 papers shown

Title
A re-examination to the SCoTLASS problems for SPCA and two projection-based methods for them Qiye Zhang Kuo-Hao Li 26 0 0 02 Jul 2023
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning Aymeric Dieuleveut G. Fort Eric Moulines Hoi-To Wai 72 12 0 22 Feb 2023
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise D. Jakovetić Dragana Bajović Anit Kumar Sahu S. Kar Nemanja Milošević Dusan Stamenkovic 57 14 0 06 Apr 2022
Accelerated nonlinear primal-dual hybrid gradient methods with applications to supervised machine learning Jérome Darbon G. P. Langlois 52 4 0 24 Sep 2021
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs Zhuoqing Song Lei Shi Shi Pu Ming Yan 46 3 0 26 Jul 2021
Distributed Proximal Splitting Algorithms with Rates and Acceleration Laurent Condat Grigory Malinovsky Peter Richtárik 57 21 0 02 Oct 2020
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities Javad Mohammadi J. Thornburg 37 5 0 21 Sep 2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond Tsung-Hui Chang Mingyi Hong Hoi-To Wai Xinwei Zhang Songtao Lu GNN 60 13 0 14 Jan 2020
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications E. Dall’Anese Andrea Simonetto Stephen Becker Liam Madden 86 71 0 17 Oct 2019
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization Amirhossein Ajalloeian T. Huynh Heng Luo 51 22 0 04 Oct 2019
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I Sandeep Kumar K. Rajawat Daniel P. Palomar 77 4 0 21 Jul 2019
Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization Davood Hajinezhad Michael M. Zavlanos 34 14 0 09 Apr 2019
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors Babak Barazandeh Mohammadhussein Rafieisakhaei Sunwook Kim Zhenyu Z. Kong M. Nussbaum 24 0 0 22 Oct 2018
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 95 120 0 13 Aug 2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation Yudong Chen Yuejie Chi 141 173 0 23 Feb 2018
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition Mohammad Rostami Soheil Kolouri Kyungnam Kim Eric Eaton FedML CLL 61 35 0 15 Sep 2017
A Fixed-Point of View on Gradient Methods for Big Data A. Jung 54 27 0 29 Jun 2017
Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery Mohammad Golbabaee Zhouye Chen Yves Wiaux Mike E. Davies 38 10 0 23 Jun 2017
Adaptation and learning over networks for nonlinear system modeling Simone Scardapane Jie Chen C. Richard 38 3 0 28 Apr 2017
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates Zhi Li W. Shi Ming Yan 92 226 0 25 Apr 2017
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate Aryan Mokhtari Mark Eisen Alejandro Ribeiro 98 74 0 02 Feb 2017
Revisiting maximum-a-posteriori estimation in log-concave models Marcelo Pereyra 86 22 0 19 Dec 2016
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 129 90 0 05 Dec 2016
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate Aryan Mokhtari Mert Gurbuzbalaban Alejandro Ribeiro 145 37 0 01 Nov 2016
A Framework for Parallel and Distributed Training of Neural Networks Simone Scardapane P. Lorenzo FedML 101 27 0 24 Oct 2016
Large-Scale Strategic Games and Adversarial Machine Learning T. Alpcan Benjamin I. P. Rubinstein C. Leckie 16 8 0 21 Sep 2016
Proximity Without Consensus in Online Multi-Agent Optimization Alec Koppel Brian M. Sadler Alejandro Ribeiro 80 85 0 17 Jun 2016
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention Yang Liu Chengjie Sun Mehdi Alizadeh Xiaolong Wang 66 274 0 30 May 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization Davood Hajinezhad Mingyi Hong T. Zhao Zhaoran Wang 81 45 0 25 May 2016
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization Mark Eisen Aryan Mokhtari Alejandro Ribeiro 52 14 0 23 Mar 2016
A Scalable and Distributed Solution to the Inertial Motion Capture Problem Manon Kok Sina Khoshfetrat Pakazad Thomas B. Schön A. Hansson Jeroen D. Hol 16 6 0 21 Mar 2016
On the Influence of Momentum Acceleration on Online Learning Kun Yuan Bicheng Ying Ali H. Sayed 76 58 0 14 Mar 2016
Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition Aleksandr Aravkin Stephen Becker 37 1 0 01 Mar 2016
Local and Global Convergence of a General Inertial Proximal Splitting Scheme Patrick R. Johnstone P. Moulin 39 18 0 08 Feb 2016
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro 68 124 0 01 Feb 2016
On Reconstructability of Quadratic Utility Functions from the Iterations in Gradient Methods Farhad Farokhi Iman Shames Michael G. Rabbat M. Johansson 22 5 0 18 Sep 2015
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis Tsung-Hui Chang Mingyi Hong Wei-Cheng Liao Xiangfeng Wang 69 201 0 09 Sep 2015
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data Guoxu Zhou Qibin Zhao Yu Zhang T. Adalı Shengli Xie A. Cichocki 94 184 0 29 Aug 2015
Smooth Alternating Direction Methods for Nonsmooth Constrained Convex Optimization Quoc Tran-Dinh Volkan Cevher 176 5 0 14 Jul 2015
Proximal Algorithms in Statistics and Machine Learning Nicholas G. Polson James G. Scott Brandon T. Willard 325 150 0 11 Feb 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 127 21 0 04 Feb 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering Jun He Yue Zhang 50 8 0 12 Dec 2014
Decomposition of Big Tensors With Low Multilinear Rank Guoxu Zhou A. Cichocki Shengli Xie 108 61 0 05 Dec 2014
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization Pascal Bianchi W. Hachem F. Iutzeler 148 57 0 03 Jul 2014