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Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang



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Autore: Lin Zhouchen Visualizza persona
Titolo: Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang Visualizza cluster
Pubblicazione: Singapore : , : Springer, , [2020]
©2020
Descrizione fisica: 1 online resource (286 pages)
Disciplina: 006.31
Soggetto topico: Machine learning - Mathematics
Mathematical optimization
Computer mathematics
Machine Learning
Optimization
Math Applications in Computer Science
Computational Mathematics and Numerical Analysis
Persona (resp. second.): LiHuan
FangCong
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions.
Sommario/riassunto: 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 optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where the algorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well as for graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time.
Titolo autorizzato: Accelerated Optimization for Machine Learning  Visualizza cluster
ISBN: 981-15-2910-8
9789811529108
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465342403316
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