A tutorial on variational Bayesian inference

This tutorial describes the mean-field variational Bayesian approximation to inference in graphical models, using modern machine learning terminology rather than statistical physics concepts. It begins by seeking to find an approximate mean-field distribution close to the target joint in the KL-dive...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	The Artificial intelligence review 2012-08, Vol.38 (2), p.85-95
Hauptverfasser:	Fox, Charles W., Roberts, Stephen J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Computer Science Energy Machine learning Variables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!