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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.

( Image credit: Michael Betancourt )

Papers

Showing 271273 of 273 papers

TitleStatusHype
Applying Probabilistic Programming to Affective ComputingCode0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Stochastic Probabilistic ProgramsCode0
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