Evidence Lower Bound
Evidence Lower Bound is a variational objective function that serves as a lower bound on the log-likelihood of observed data, derived by applying Jensen's inequality to the marginal likelihood in order to enable tractable posterior inference in latent variable models.
96
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4.4K
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254
Authors
108
Institutions
Publications per year
2017–2026
80
Parents
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Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang, Yin Zheng, Huachun Tan et al. · 2017 · 650 citations · Full text
A neural mechanism of speed-accuracy tradeoff in macaque area LIP
Timothy Hanks, Roozbeh Kiani, Michael N. Shadlen · eLife · 2014 · 252 citations · Full text
Isolating Sources of Disentanglement in Variational Autoencoders
Ricky T. Q. Chen, Xuechen Li, Roger Grosse et al. · arXiv (Cornell University) · 2018 · 145 citations · Full text
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University of Toronto
Toronto, Canada
7 h-index
16 publications
910 citations
University of Oxford
Oxford, United Kingdom
5 h-index
9 publications
248 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
9 publications
376 citations
Princeton University
Princeton, United States
4 h-index
8 publications
469 citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
124 citations
Google (United States)
Mountain View, United States
3 h-index
8 publications
224 citations
The Alan Turing Institute
London, United Kingdom
3 h-index
3 publications
153 citations
Tsinghua University
Beijing, China
3 h-index
5 publications
216 citations
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Repository · 32 publications · 1.5K citations
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Conference · 5 publications · 112 citations
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Conference · 3 publications · 43 citations
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TPAMI · 3 publications · 139 citations
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2 publications · 166 citations
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