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

Hazan, Elad

 
9780262046985: Introduction to Online Convex Optimization, second edition (Adaptive Computation and Machine Learning series)
Tapa dura
ISBN 10: 0262046989 ISBN 13: 9780262046985
Editorial: The MIT Press, 2022

Sinopsis

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:

  • Thoroughly updated material throughout
  • New chapters on boosting, adaptive regret, and approachability and expanded exposition on optimization
  • Examples of applications, including prediction from expert advice, portfolio selection, matrix completion and recommendation systems, SVM training, offered throughout
  • Exercises that guide students in completing parts of proofs

    • "Sinopsis" puede pertenecer a otra edición de este libro.

    Acerca del autor

    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.

    "Sobre este título" puede pertenecer a otra edición de este libro.

    Editorial
    The MIT Press
    Año de publicación
    2022
    Idioma
    Inglés
    ISBN 10 
    0262046989
    ISBN 13 
    9780262046985
    Encuadernación
    Tapa dura
    Número de edición
    2
    Número de páginas
    248
    Contacto del fabricante
    no disponible
    Persona responsable
    no disponible