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Accelerated Optimization for Machine Learning First-Order Algorithms /

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimizat...

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Main Authors: Lin, Zhouchen. (Author, http://id.loc.gov/vocabulary/relators/aut), Li, Huan. (http://id.loc.gov/vocabulary/relators/aut), Fang, Cong. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Machine learning.
Mathematical optimization.
Computer science—Mathematics.
Computer mathematics.
Machine Learning.
Optimization.
Math Applications in Computer Science.
Computational Mathematics and Numerical Analysis.
Online Access:https://doi.org/10.1007/978-981-15-2910-8

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