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A Stochastic Quasi-Newton Method for Large-Scale Optimization

A Stochastic Quasi-Newton Method for Large-Scale Optimization

27 January 2014
R. Byrd
Samantha Hansen
J. Nocedal
Y. Singer
    ODL
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Papers citing "A Stochastic Quasi-Newton Method for Large-Scale Optimization"

6 / 6 papers shown
Title
Useful Compact Representations for Data-Fitting
Useful Compact Representations for Data-Fitting
Johannes J Brust
29
0
0
18 Mar 2024
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification
Lu Jiang
Qi Wang
Yuhang Chang
Jianing Song
Haoyue Fu
Xiaochun Yang
58
0
0
13 Mar 2024
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
Antoine Godichon-Baggioni
Wei Lu
Bruno Portier
90
1
0
15 Jan 2024
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Weidong Liu
Jiyuan Tu
Yichen Zhang
Xi Chen
OffRL
45
4
0
04 Oct 2023
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
53
105
0
16 Jun 2020
Non-strongly-convex smooth stochastic approximation with convergence
  rate O(1/n)
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis R. Bach
Eric Moulines
58
404
0
10 Jun 2013
1