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Probabilistic Programming

Probabilistic programming languages are designed to describe probabilistic models and then perform inference in those models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible.

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Papers

Showing 271273 of 273 papers

TitleStatusHype
A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs0
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference0
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs0
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