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Yang et al., 2023 - Google Patents

Adaptive step size rules for stochastic optimization in large-scale learning

Yang et al., 2023

Document ID
9520921279476948593
Author
Yang Z
Ma L
Publication year
Publication venue
Statistics and Computing

External Links

Snippet

The importance of the step size in stochastic optimization has been confirmed both theoretically and empirically during the past few decades and reconsidered in recent years, especially for large-scale learning. Different rules of selecting the step size have been …
Continue reading at link.springer.com (other versions)

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
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