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20192026
most citedLearning Proposals for Probabilistic Programs with Inference Combinators

6 citations · 9 across the 9 of their papers we have counts for

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stat.ML2019★ 2 cited

Amortized Population Gibbs Samplers with Neural Sufficient Statistics

Hao Wu, Heiko Zimmermann, Eli Sennesh +2

We develop amortized population Gibbs (APG) samplers, a class of scalable methods that frames structured variational inference as adaptive importance sampling. APG samplers constru…