Mathematical Theories of Machine Learning - Theory and Applications

by S S Iyengar, Bin Shi, S.S. Iyengar, et al.

Book Overview

This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the...

• Format: Paperback
• Language: English
• ISBN: 3030170780
• ISBN13: 9783030170783
• Release Date: August 2020
• Publisher: Springer
• Length: 133 Pages
• Weight: 0.50 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"