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RES: Regularized Stochastic BFGS Algorithm

RES: Regularized Stochastic BFGS Algorithm

29 January 2014
Aryan Mokhtari
Alejandro Ribeiro
    ODL
ArXivPDFHTML

Papers citing "RES: Regularized Stochastic BFGS Algorithm"

17 / 17 papers shown
Title
Stochastic Online Optimization for Cyber-Physical and Robotic Systems
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
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
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning
M. Yousefi
Angeles Martinez
ODL
16
1
0
18 May 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized
  Learning: Part I
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I
Jiaojiao Zhang
Huikang Liu
Anthony Man-Cho So
Qing Ling
24
14
0
19 Jan 2022
Variance-Reduced Methods for Machine Learning
Variance-Reduced Methods for Machine Learning
Robert Mansel Gower
Mark Schmidt
Francis R. Bach
Peter Richtárik
19
111
0
02 Oct 2020
Practical Quasi-Newton Methods for Training Deep Neural Networks
Practical Quasi-Newton Methods for Training Deep Neural Networks
D. Goldfarb
Yi Ren
Achraf Bahamou
ODL
16
104
0
16 Jun 2020
Stochastic quasi-Newton with line-search regularization
Stochastic quasi-Newton with line-search regularization
A. Wills
Thomas B. Schon
ODL
26
21
0
03 Sep 2019
A fast quasi-Newton-type method for large-scale stochastic optimisation
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
Parsimonious Online Learning with Kernels via Sparse Projections in
  Function Space
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
Accelerated Gradient Temporal Difference Learning
Yangchen Pan
Adam White
Martha White
8
27
0
28 Nov 2016
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Tianlin Li
Shiqian Ma
D. Goldfarb
Wen Liu
24
177
0
05 Jul 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
105
3,178
0
15 Jun 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical
  Accuracy
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari
Alejandro Ribeiro
ODL
17
32
0
24 May 2016
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus
  Optimization
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization
Mark Eisen
Aryan Mokhtari
Alejandro Ribeiro
17
14
0
23 Mar 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm
A Linearly-Convergent Stochastic L-BFGS Algorithm
Philipp Moritz
Robert Nishihara
Michael I. Jordan
ODL
37
233
0
09 Aug 2015
A Variance Reduced Stochastic Newton Method
A Variance Reduced Stochastic Newton Method
Aurelien Lucchi
Brian McWilliams
Thomas Hofmann
ODL
33
50
0
28 Mar 2015
Global Convergence of Online Limited Memory BFGS
Global Convergence of Online Limited Memory BFGS
Aryan Mokhtari
Alejandro Ribeiro
30
164
0
06 Sep 2014
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