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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
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators0
Incorporating Expert Opinion on Observable Quantities into Statistical Models -- A General Framework0
Inference Over Programs That Make Predictions0
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