Variational Bayes
Variational Bayes is a variational inference method that approximates intractable posterior distributions in Bayesian models by framing posterior estimation as an optimization problem over a family of tractable distributions.
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2017–2026
535
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Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling · UvA-DARE (University of Amsterdam) · 2013 · 15.6K citations · Full text
<i>Stan</i> : A Probabilistic Programming Language
Bob Carpenter, Andrew Gelman, Matthew D. Hoffman et al. · Journal of Statistical Software · 2017 · 7.4K citations · Full text
An Introduction to Variational Methods for Graphical Models
Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola et al. · Machine Learning · 1999 · 3.8K citations · Full text
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University College London
London, United Kingdom
34 h-index
109 publications
17.4K citations
University of Cambridge
Cambridge, United Kingdom
24 h-index
58 publications
4.5K citations

University of Amsterdam
Amsterdam, The Netherlands
22 h-index
48 publications
35.3K citations
Google (United States)
Mountain View, United States
22 h-index
61 publications
4.7K citations
Duke University
Durham, United States
21 h-index
77 publications
3.3K citations
University of California, Berkeley
Berkeley, United States
20 h-index
63 publications
5.7K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
20 h-index
52 publications
7.2K citations
Columbia University
New York, United States
20 h-index
58 publications
46.2K citations
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Repository · 275 publications · 16.9K citations
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26 publications · 1.9K citations
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Conference · 31 publications · 1.5K citations
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TPAMI · 19 publications · 3.7K citations
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