Stochastic Variational Inference
Stochastic Variational Inference is a variational inference method that employs stochastic optimization to scale Bayesian posterior approximation to large datasets by using noisy gradients estimated from mini-batches of data.
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29.2K
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366
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146
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2017–2026
87
144
Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling · UvA-DARE (University of Amsterdam) · 2013 · 15.6K citations · Full text
Stochastic variational inference
Matthew D. Hoffman, David M. Blei, Chong Wang et al. · Journal of Machine Learning Research · 2013 · 1.5K citations
Practical Variational Inference for Neural Networks
Alex Graves · 2011 · 1.1K citations
Auto-Encoding Variational Bayes
Yan-Kun Chen, Jingxuan Liu, Lingyun Peng et al. · Cambridge Explorations in Arts and Sciences · 2024 · 1K citations · Full text
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Princeton University
Princeton, United States
11 h-index
21 publications
4.3K citations
University of California, Berkeley
Berkeley, United States
10 h-index
23 publications
3.1K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
20 publications
3.4K citations
Columbia University
New York, United States
7 h-index
12 publications
756 citations
National University of Singapore
Singapore, Singapore
5 h-index
9 publications
288 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
11 publications
622 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
284 citations
University of Sheffield
Sheffield, United Kingdom
4 h-index
6 publications
1.5K citations
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Repository · 45 publications · 3.7K citations
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Conference · 7 publications · 492 citations
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Conference · 4 publications · 91 citations
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Conference · 4 publications · 126 citations
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Repository · 3 publications · 17.8K citations
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