Parallel Selective Algorithms for Big Data Optimization

22 February 2014

Papers citing "Parallel Selective Algorithms for Big Data Optimization"

11 / 11 papers shown

Title
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 38 10 0 20 Feb 2023
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares C. Cartis J. Fowkes Zhen Shao 24 11 0 10 Nov 2022
COKE: Communication-Censored Decentralized Kernel Learning Ping Xu Yue Wang Xiang Chen Z. Tian 15 20 0 28 Jan 2020
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery Gaurav N. Shetty Konstantinos Slavakis Abhishek Bose Ukash Nakarmi G. Scutari L. Ying 24 25 0 27 Dec 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 48 10 0 17 Aug 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 40 61 0 17 May 2018
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 24 9 0 15 Jun 2017
Asynchronous Parallel Algorithms for Nonconvex Optimization Loris Cannelli F. Facchinei Vyacheslav Kungurtsev G. Scutari 17 16 0 17 Jul 2016
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks Ying Sun G. Scutari Daniel P. Palomar 26 89 0 01 Jul 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 37 501 0 01 Feb 2016
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers D. Mahajan S. Keerthi S. Sundararajan 40 36 0 18 May 2014