Name: Accelerated Optimization for Machine Learning
Price: 156.1 USD
Availability: click-8910566-13660345-1590943942532?url=https%3A%2F%2Fwww.ebooks.com%2Fcj.asp%3FIID%3D210031801%26fc%3DUS&cjsku=210031801
Author: Anonymous
ISBN: 9789811529108

Accelerated Optimization for Machine Learning

2020-09-17 15:48:27

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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. Less

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