Amortized Variational Inference
Amortized Variational Inference is a variational inference method that learns a global inference network to efficiently approximate posterior distributions across multiple observations by sharing parameters, thereby amortizing the cost of inference over many data points.
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4.2K
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149
Authors
71
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2017–2026
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Avi
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Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed · arXiv (Cornell University) · 2015 · 1.4K citations · Full text
Advances in Variational Inference
Cheng Zhang, Judith Bütepage, Hedvig Kjellström et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 654 citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
4 h-index
5 publications
154 citations

Harvard University Press
Cambridge, United States
4 h-index
10 publications
715 citations
Stanford University
Stanford, United States
4 h-index
13 publications
957 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
6 publications
104 citations
Columbia University
New York, United States
3 h-index
5 publications
86 citations
University of Oxford
Oxford, United Kingdom
3 h-index
9 publications
251 citations
California Institute of Technology
Pasadena, United States
2 h-index
5 publications
115 citations
University of California, Irvine
Irvine, United States
2 h-index
2 publications
724 citations
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Repository · 20 publications · 2.5K citations
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Conference · 3 publications · 327 citations
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Conference · 2 publications · 39 citations
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Repository · 1 publications · 12 citations
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1 publications · 13 citations
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