Perturbations, optimization, and statistics

by Hazan, Tamir Papandreou, George Tarlow, Daniel

Type Book

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"This book describes perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees, offering readers a state-of-the-art overview."--Page 4 de la couverture.

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Title Statements

Full title :Perturbations, optimization, and statistics / edited by Tamir Hazan, George Papandreou, and Daniel Tarlow.

Summary

Edition Statements

Publication Date:[2016].

Publication Statements

Publisher(s):The MIT Press
Place of Publication:Cambridge, Massachusetts
Language:eng
Publication Date:[2016].

The Physical Object

Description:viii, 401 pages : : illustrations, graphiques ; : 26 cm.

Edition Identifiers

ISBN:9780262035644, 0262035642
oclc:ocn985079400
LC Classification:Q325.5
Dewey Decimal:515/.392

Subjects

Apprentissage automatique Machine learning Mathematical optimization Optimisation mathématique Perturbation (Mathematics) Perturbation (Mathématiques)