Introduction to Online Convex Optimization, second edition by Elad Hazan - ISBN: 9780262046985
Hardcover
Learn optimization as a process with this essential machine learning textbook.
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Introduction to Online Convex Optimization, second edition

RRP$139.99

$106.80

  • Hardcover

    256 pages

  • Release Date

    1 November 2022

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Summary

This is a new edition of a graduate-level textbook focusing on online convex optimization, a machine learning framework that views optimization as a process.

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 opt…

Book Details

ISBN-13:9780262046985
ISBN-10:0262046989
Author:Elad Hazan
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Hardcover
Number of Pages:256
Release Date:1 November 2022
Weight:567g
Dimensions:152mm x 229mm
Series:Adaptive Computation and Machine Learning series
A-Format
B-Format
Introduction to Online Convex Optimization, second edition by Elad Hazan - ISBN: 9780262046985
152 × 229 mm
C-Format
A4
mm / in
About The Author

Elad Hazan

Elad Hazan is Professor of Computer Science at Princeton University and cofounder and director of Google AI Princeton. An innovator in the design and analysis of algorithms for basic problems in machine learning and optimization, he is coinventor of the AdaGrad optimization algorithm for deep learning, the first adaptive gradient method.

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