Randomized Block Coordinate Descent for Online and Stochastic
Optimization

Randomized Block Coordinate Descent for Online and Stochastic Optimization

1 July 2014

Huahua Wang

Papers citing "Randomized Block Coordinate Descent for Online and Stochastic Optimization"

8 / 8 papers shown

Title
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 37 10 0 30 Jul 2021
Block Layer Decomposition schemes for training Deep Neural Networks L. Palagi R. Seccia 25 5 0 18 Mar 2020
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network Yushan Gao A. Biguri T. Blumensath 31 3 0 28 Mar 2019
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 16 0 0 17 May 2018
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks Kensuke Nakamura Stefano Soatto Byung-Woo Hong BDL ODL 43 6 0 20 Nov 2017
Optimization for Large-Scale Machine Learning with Distributed Features and Observations A. Nathan Diego Klabjan 30 13 0 31 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 69 1,878 0 08 Oct 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014