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An Introduction to Variational Methods for Graphical Models

19993,733 citationsJournal Articlebronze Open Access

Authors

Michael I. Jordan · University of California, Berkeley

Zoubin Ghahramani · Oxford Centre for Computational Neuroscience

Tommi Jaakkola · Massachusetts Institute of Technology

Lawrence K. Saul · AT&T (United States)

Topics & Keywords

Bayesian Modeling and Causal Inference Bayesian Methods and Mixture Models Gaussian Processes and Bayesian Inference

Publication Details

Published in: Machine Learning

Volume 37, Issue 2, pp. 183-233

DOI: 10.1023/a:1007665907178

Field-Weighted Citation Impact: 50.65

An Introduction to Variational Methods for Graphical Models | Researchclopedia