Adaptive stochastic conjugate gradient for machine learning

Due to their faster convergence rate than gradient descent algorithms and less computational cost than second order algorithms, conjugate gradient (CG) algorithms have been widely used in machine learning. This paper considers conjugate gradient in the mini-batch setting. Concretely, we propose a st...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 206; p. 117719
Main Author:	Yang, Zhuang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.11.2022
Subjects:	Large scale learning Recursive iteration Second-order methods Stochastic conjugate gradient Sub sampling Stochastic conjugate gradient Sub sampling Recursive iteration Large scale learning Second-order methods
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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