Introduction to Online Convex Optimization, second edition
$106.80
- Hardcover
256 pages
- Release Date
1 November 2022
Summary
New edition of a graduate-level textbook that focuses 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 optimizat…
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: | 229mm x 152mm |
| Series: | Adaptive Computation and Machine Learning series |
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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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