Introduction to Online Convex Optimization 2nd Edition by Elad Hazan 0262046989 9780262046985

Introduction to Online Convex Optimization 2nd Edition by Elad Hazan – Ebook PDF Instant Download/Delivery: 0262046989, 9780262046985

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ISBN 10: 0262046989

ISBN 13: 9780262046985

Author: Elad Hazan

In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives.

Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:

Introduction to Online Convex Optimization 2nd Table of contents:

1 Introduction 
2 Basic Concepts in Convex Optimization 
3 First-Order Algorithms for Online Convex Optimization 
4 Second-Order Methods 
5 Regularization 
6 Bandit Convex Optimization
7 Projection-Free Algorithms 
8 Games, Duality and Regret 
9 Learning Theory, Generalization, and Online Convex Optimization 
10 Learning in Changing Environments 
11 Boosting and Regret 
12 Online Boosting 

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