Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints

Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints

We study the semantic foundation of expressive probabilistic programming languages, that support higher-order functions, continuous distributions, and soft constraints (such as Anglican, Church, and Venture). We define a metalanguage (an idealised version of Anglican) for probabilistic computation w...

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Detalles Bibliográficos
Autores principales: Yang, H, Staton, S, Wood, F, Heunen, C, Kammar, O
Formato: Conference item
Publicado: Association for Computing Machinery 2016

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