SARAH-M: A fast stochastic recursive gradient descent algorithm via momentum

As a simple but effective way, the momentum method has been widely adopted in stochastic optimization algorithms for large-scale machine learning problems and the success of stochastic optimization with the momentum term for many applications in machine learning and other related areas has been repo...

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Veröffentlicht in:	Expert systems with applications Jg. 238; S. 122295
1. Verfasser:	Yang, Zhuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2024
Schlagworte:	Adaptive step size Machine learning Momentum Stochastic optimization Variance reduction Adaptive step size Momentum Stochastic optimization Machine learning Variance reduction
ISSN:	0957-4174
Online-Zugang:	Volltext
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