Introduction to Online Convex Optimization, Second Edition

By Elad Hazan

Book Overview

Comprehensively updated, the second edition of Introduction to Online Convex Optimization dives into the fascinating world at the intersection of optimization and machine learning, detailing the process-based optimization method responsible for many of the systems and models that are part of our daily lives. Second edition highlights: New chapters on boosting, adaptive regret, and approachability, Expanded coverage of optimization and learning theory, Application examples include prediction from expert advice, portfolio selection, matrix completion and recommendation systems, and SVM training, Exercises to guide students in completing proofs, Solutions manual for instructors Book jacket.

• Format: Hardcover
• Language: English
• ISBN: 0262046989
• ISBN13: 9780262046985
• Release Date: September 2022
• Publisher: MIT Press
• Length: 248 Pages
• Weight: 1.00 lbs.
• Dimensions: 0.7" x 6.0" x 9.1"