Separable Approximations and Decomposition Methods for the Augmented Lagrangian

30 August 2013

Papers citing "Separable Approximations and Decomposition Methods for the Augmented Lagrangian"

13 / 13 papers shown

Title
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 99 6 0 28 Jun 2023
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 70 38 0 04 Jul 2017
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization Aryan Mokhtari Wei Shi Qing Ling Alejandro Ribeiro 73 124 0 01 Feb 2016
Distributed Optimization with Arbitrary Local Solvers Chenxin Ma Jakub Konecný Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtárik Martin Takáč 128 197 0 13 Dec 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities Dominik Csiba Zheng Qu Peter Richtárik ODL 137 97 0 27 Feb 2015
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization Zheng Qu Peter Richtárik Martin Takáč Olivier Fercoq ODL 126 99 0 08 Feb 2015
Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation Zheng Qu Peter Richtárik 192 83 0 27 Dec 2014
Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity Zheng Qu Peter Richtárik 81 130 0 27 Dec 2014
Randomized Dual Coordinate Ascent with Arbitrary Sampling Zheng Qu Peter Richtárik Tong Zhang 155 58 0 21 Nov 2014
Matrix Completion under Interval Uncertainty Jakub Mareˇcek Peter Richtárik Martin Takáč 168 19 0 11 Aug 2014
On Optimal Probabilities in Stochastic Coordinate Descent Methods Peter Richtárik Martin Takáč 114 130 0 13 Oct 2013
Distributed Coordinate Descent Method for Learning with Big Data Peter Richtárik Martin Takáč 201 255 0 08 Oct 2013
Smooth minimization of nonsmooth functions with parallel coordinate descent methods Olivier Fercoq Peter Richtárik 67 33 0 23 Sep 2013