Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

21 October 2013

Papers citing "Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm"

23 / 73 papers shown

Title
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care Qiwei Han Mengxin Ji Inigo Martinez de Rituerto de Troya Manas Gaur Leid Zejnilovic 8 43 0 09 Aug 2018
Stochastic modified equations for the asynchronous stochastic gradient descent Jing An Jian-wei Lu Lexing Ying 21 79 0 21 May 2018
Generalization Error Bounds for Noisy, Iterative Algorithms Ankit Pensia Varun Jog Po-Ling Loh 14 109 0 12 Jan 2018
Improved asynchronous parallel optimization analysis for stochastic incremental methods Rémi Leblond Fabian Pedregosa Simon Lacoste-Julien 16 70 0 11 Jan 2018
Safe Adaptive Importance Sampling Sebastian U. Stich Anant Raj Martin Jaggi 27 53 0 07 Nov 2017
Analysis of Biased Stochastic Gradient Descent Using Sequential Semidefinite Programs Bin Hu Peter M. Seiler Laurent Lessard 16 38 0 03 Nov 2017
Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems Julianne Chung Matthias Chung J. T. Slagel L. Tenorio 19 11 0 23 Feb 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 13 110 0 15 Dec 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes Soham De A. Yadav David Jacobs Tom Goldstein ODL 14 62 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 22 1,876 0 08 Oct 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs A. Osokin Jean-Baptiste Alayrac Isabella Lukasewitz P. Dokania Simon Lacoste-Julien 25 65 0 30 May 2016
Learning a Metric Embedding for Face Recognition using the Multibatch Method Oren Tadmor Y. Wexler Tal Rosenwein Shai Shalev-Shwartz Amnon Shashua CVBM 21 53 0 24 May 2016
Barzilai-Borwein Step Size for Stochastic Gradient Descent Conghui Tan Shiqian Ma Yuhong Dai Yuqiu Qian 32 182 0 13 May 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu Zheng Qu Peter Richtárik Yang Yuan 36 172 0 30 Dec 2015
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 26 296 0 19 Nov 2015
Stochastic modified equations and adaptive stochastic gradient algorithms Qianxiao Li Cheng Tai E. Weinan 19 279 0 19 Nov 2015
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data Dimitris Berberidis V. Kekatos G. Giannakis 21 65 0 27 Jul 2015
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jakub Konecný Jie Liu Peter Richtárik Martin Takáč ODL 20 273 0 16 Apr 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields Mark W. Schmidt Reza Babanezhad Mohamed Osama Ahmed Aaron Defazio Ann Clifton Anoop Sarkar 33 83 0 16 Apr 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang Xiao Lin 35 261 0 10 Sep 2014
On Data Preconditioning for Regularized Loss Minimization Tianbao Yang R. L. Jin Shenghuo Zhu Qihang Lin 40 9 0 13 Aug 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark W. Schmidt Nicolas Le Roux Francis R. Bach 50 1,243 0 10 Sep 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 101 570 0 08 Dec 2012