A domain theory for statistical probabilistic programming

<p>We give an adequate denotational semantics for languages with recursive higher-order types, continuous probability distributions, and soft constraints. These are expressive languages for building Bayesian models of the kinds used in computational statistics and machine learning. Among them...

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Detaylı Bibliyografya
Asıl Yazarlar: Vákár, M, Kammar, O, Staton, S
Materyal Türü: Conference item
Baskı/Yayın Bilgisi: Association for Computing Machinery 2019

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