Exact Sampling is a Markov Chain Monte Carlo method that generates samples from a target probability distribution with zero bias by ensuring the sampled state is drawn exactly from the stationary distribution, typically through techniques such as coupling from the past.
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Density Estimation Using Real NVP
Laurent Dinh · arXiv (Cornell University) · 2016 · 793 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
4 h-index
10 publications
2.7K citations
National Tsing Hua University
Hsinchu, Taiwan
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7 publications
256 citations
Columbia University
New York, United States
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164 citations
Wayne State University
Detroit, United States
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Cambridge, United Kingdom
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Stanford, United States
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London, United Kingdom
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Ithaca, United States
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Repository · 6 publications · 1.1K citations
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4 publications · 366 citations
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JAP · 3 publications · 63 citations
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3 publications · 1.3K citations
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