Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses

7 June 2015

Papers citing "Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses"

13 / 13 papers shown

Title
SGD: General Analysis and Improved Rates Robert Mansel Gower Nicolas Loizou Xun Qian Alibek Sailanbayev Egor Shulgin Peter Richtárik 109 383 0 27 Jan 2019
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop D. Kovalev Samuel Horváth Peter Richtárik 122 156 0 24 Jan 2019
SAGA with Arbitrary Sampling Xun Qian Zheng Qu Peter Richtárik 88 26 0 24 Jan 2019
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 83 38 0 04 Jul 2017
IS-ASGD: Accelerating Asynchronous SGD using Importance Sampling Fei Wang Jun Ye Weichen Li Guihai Chen 95 1 0 26 Jun 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 184 1,914 0 08 Oct 2016
Efficient Estimation of Partially Linear Models for Spatial Data over Complex Domain Elad Hazan Chi Jin Cameron Musco Praneeth Netrapalli 101 78 0 27 May 2016
Importance Sampling for Minibatches Dominik Csiba Peter Richtárik 111 117 0 06 Feb 2016
SDCA without Duality, Regularization, and Individual Convexity Shai Shalev-Shwartz 63 104 0 04 Feb 2016
Distributed Optimization with Arbitrary Local Solvers Chenxin Ma Jakub Konecný Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtárik Martin Takáč 134 197 0 13 Dec 2015
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation Chi Jin Sham Kakade Cameron Musco Praneeth Netrapalli Aaron Sidford 78 43 0 29 Oct 2015
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization Zheng Qu Peter Richtárik Martin Takáč Olivier Fercoq ODL 131 99 0 08 Feb 2015
On Optimal Probabilities in Stochastic Coordinate Descent Methods Peter Richtárik Martin Takáč 125 129 0 13 Oct 2013