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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Vydané v:	Expert systems with applications Ročník 206; s. 117719
Hlavný autor:	Yang, Zhuang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2022
Predmet:	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
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