Painless Stochastic Conjugate Gradient for Large-Scale Machine Learning

Conjugate gradient (CG), as an effective technique to speed up gradient descent algorithms, has shown great potential and has widely been used for large-scale machine-learning problems. However, CG and its variants have not been devised for the stochastic setting, which makes them extremely unstable...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 35; H. 10; S. 14645 - 14658
1. Verfasser:	Yang, Zhuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2024
Schlagworte:	Adaptive step size Convergence Heuristic algorithms Linear programming Machine learning Machine learning algorithms mini-batches Noise measurement Optimization stochastic conjugate gradient (SCG) variance reduction
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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