Bayesian Variational Inference
Bayesian Variational Inference is a Bayesian approximate inference method that frames posterior estimation as an optimization problem by minimizing the divergence between the true posterior and a tractable variational distribution.
648
Publications
35.9K
Citations
1.7K
Authors
562
Institutions
Publications per year
2017–2026
360
648
1–5 of 648
1.7K
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562
University College London
London, United Kingdom
18 h-index
42 publications
3.7K citations
Duke University
Durham, United States
17 h-index
75 publications
3.7K citations

Harbin Engineering University
Harbin, China
17 h-index
60 publications
7.6K citations

University of Edinburgh
Edinburgh, United Kingdom
15 h-index
31 publications
1.7K citations

Xi'an Jiaotong University
Xi'an, China
14 h-index
39 publications
1.8K citations
Tsinghua University
Beijing, China
14 h-index
39 publications
1K citations
Nanyang Technological University
Singapore, Singapore
14 h-index
32 publications
1.5K citations

University of Alberta
Edmonton, Canada
13 h-index
29 publications
1.1K citations
1–8 of 562
Repository · 70 publications · 3.2K citations
28
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29 publications · 1.6K citations
22
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TPAMI · 13 publications · 928 citations
13
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11 publications · 752 citations
11
h-index
10 publications · 352 citations
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