Distributed Mini-Batch SDCA

29 July 2015

Papers citing "Distributed Mini-Batch SDCA"

10 / 10 papers shown

Title
Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic Gradient Methods Martin Morin Pontus Giselsson 27 4 0 13 Feb 2020
A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm Konstantin Mishchenko F. Iutzeler J. Malick 19 22 0 25 Jun 2018
The Effect of Network Width on the Performance of Large-batch Training Lingjiao Chen Hongyi Wang Jinman Zhao Dimitris Papailiopoulos Paraschos Koutris 29 22 0 11 Jun 2018
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes Kfir Y. Levy ODL 33 57 0 30 May 2017
Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification Prateek Jain Sham Kakade Rahul Kidambi Praneeth Netrapalli Aaron Sidford MoMe 21 36 0 12 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 71 1,877 0 08 Oct 2016
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization Shun Zheng Jialei Wang Fen Xia Wenyuan Xu Tong Zhang 21 22 0 13 Apr 2016
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? Chenxin Ma Martin Takáč 23 11 0 22 Oct 2015
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010