Introduction to Online Convex Optimization

The Science of Making Decisions

Online convex optimization (OCO) is a field of study that deals with the problem of making decisions in an online setting, where the decision-maker does not have complete information about the future. This book provides a comprehensive to OCO, covering the basic concepts, algorithms, and applications.

Introduction to Online Convex Optimization, second edition (Adaptive Computation and Machine Learning series)

by Elad Hazan

4.7 out of 5

Language	:	English
File size	:	631 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Print length	:	160 pages

FREE

OCO is a powerful tool that can be used to solve a wide variety of problems, including:

• Resource allocation
• Portfolio optimization
• Online advertising
• Machine learning
• Artificial intelligence

The book is written in a clear and concise style, and it is suitable for both students and practitioners. It is also packed with exercises and examples, which help to illustrate the concepts and algorithms that are presented.

Table of Contents

2. Basic Concepts
3. Algorithms for OCO
4. Applications of OCO
5. Advanced Topics

Author Biography

Elad Hazan is a Professor of Computer Science at the Hebrew University of Jerusalem. He is a leading expert in online convex optimization, and he has published numerous papers on the topic. He is also the author of the book to Online Convex Optimization.

Reviews

" to Online Convex Optimization is a comprehensive and well-written to a rapidly growing field. It is a must-read for anyone who wants to learn about OCO." - Professor Yishay Mansour, Tel Aviv University

"This book is a valuable resource for both students and practitioners. It provides a clear and concise overview of the basic concepts, algorithms, and applications of OCO." - Professor Shie Mannor, Technion - Israel Institute of Technology

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Introduction to Online Convex Optimization, second edition (Adaptive Computation and Machine Learning series)

by Elad Hazan

4.7 out of 5

Language	:	English
File size	:	631 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Print length	:	160 pages

FREE