Collapsed Variational Inference
Collapsed Variational Inference is a variational inference method that integrates out certain latent variables from the model to improve approximation accuracy by reducing the dimensionality of the variational optimization problem.
22
Publications
932
Citations
56
Authors
27
Institutions
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2017–2026
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Collapsed Variational Inference for HDP
Yee Whye Teh, Kenichi Kurihara, Max Welling · 2007 · 146 citations
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The University of Tokyo
Tokyo, Japan
5 h-index
10 publications
167 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
3 publications
200 citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
68 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
4 publications
256 citations
University of California, Irvine
Irvine, United States
2 h-index
5 publications
658 citations

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
128 citations

Concordia University
Montreal, Canada
2 h-index
3 publications
109 citations
Yandex (Russia)
Moscow, Russia
1 h-index
1 publications
13 citations
1–8 of 27
Repository · 3 publications · 106 citations
3
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TPAMI · 3 publications · 164 citations
3
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1 publications · 15 citations
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Repository · 1 publications · 24 citations
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1 publications · 26 citations
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