Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Introduction to Online Convex Optimization, Second Edition

Introduction to Online Convex Optimization, Second Edition

Hazan, Elad

Hardcover

Series: Adaptive Computation and Machine Learning

Technology & EngineeringGeneral Mathematics

Currently unavailable to order

ISBN10: 0262046989
ISBN13: 9780262046985
Publisher: Mit Pr
Published: Sep 6 2022
Pages: 248
Weight: 1.00
Height: 0.70 Width: 6.00 Depth: 9.10
Language: English
New edition of a graduate-level textbook on 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 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:

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