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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
Johannes J Brust
29
0
0
18 Mar 2024
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
Antoine Godichon-Baggioni
Wei Lu
Bruno Portier
90
1
0
15 Jan 2024
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
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)
Francis R. Bach
Eric Moulines
58
404
0
10 Jun 2013
1