A Variance Reduced Stochastic Newton Method

28 March 2015

Papers citing "A Variance Reduced Stochastic Newton Method"

9 / 9 papers shown

Title
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients Sachin Garg A. Berahas Michal Dereziñski 46 1 0 23 Apr 2024
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning M. Yousefi Angeles Martinez ODL 21 1 0 18 May 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 34 14 0 19 Jan 2022
Practical Quasi-Newton Methods for Training Deep Neural Networks D. Goldfarb Yi Ren Achraf Bahamou ODL 29 104 0 16 Jun 2020
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method Mark Eisen Aryan Mokhtari Alejandro Ribeiro 38 16 0 22 May 2017
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Tianlin Li Shiqian Ma D. Goldfarb Wen Liu 26 177 0 05 Jul 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy Aryan Mokhtari Alejandro Ribeiro ODL 25 32 0 24 May 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 40 233 0 09 Aug 2015
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark Schmidt Francis R. Bach 128 259 0 10 Dec 2012