RES: Regularized Stochastic BFGS Algorithm

RES: Regularized Stochastic BFGS Algorithm

29 January 2014

Alejandro Ribeiro

Papers citing "RES: Regularized Stochastic BFGS Algorithm"

19 / 19 papers shown

Title
Stochastic Online Optimization for Cyber-Physical and Robotic Systems Hao Ma Melanie Zeilinger Michael Muehlebach 62 0 0 08 Apr 2024
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm Xinteng Ma Renyi Bao Jinpeng Jiang Yang Liu Arthur Jiang Junhua Yan Xin Liu Zhisong Pan FedML 32 6 0 20 Jun 2022
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
Variance-Reduced Methods for Machine Learning Robert Mansel Gower Mark Schmidt Francis R. Bach Peter Richtárik 24 112 0 02 Oct 2020
Practical Quasi-Newton Methods for Training Deep Neural Networks D. Goldfarb Yi Ren Achraf Bahamou ODL 29 104 0 16 Jun 2020
Stochastic quasi-Newton with line-search regularization A. Wills Thomas B. Schon ODL 29 21 0 03 Sep 2019
A fast quasi-Newton-type method for large-scale stochastic optimisation A. Wills Carl Jidling Thomas B. Schon ODL 36 7 0 29 Sep 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method Mark Eisen Aryan Mokhtari Alejandro Ribeiro 38 16 0 22 May 2017
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 32 79 0 13 Dec 2016
Accelerated Gradient Temporal Difference Learning Yangchen Pan Adam White Martha White 16 27 0 28 Nov 2016
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Tianlin Li Shiqian Ma D. Goldfarb Wen Liu 26 177 0 05 Jul 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 120 3,178 0 15 Jun 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy Aryan Mokhtari Alejandro Ribeiro ODL 25 32 0 24 May 2016
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization Mark Eisen Aryan Mokhtari Alejandro Ribeiro 25 14 0 23 Mar 2016
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs N. Keskar A. Berahas ODL 17 34 0 04 Nov 2015
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 40 233 0 09 Aug 2015
A Variance Reduced Stochastic Newton Method Aurelien Lucchi Brian McWilliams Thomas Hofmann ODL 35 50 0 28 Mar 2015
Global Convergence of Online Limited Memory BFGS Aryan Mokhtari Alejandro Ribeiro 35 164 0 06 Sep 2014