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The Design and Implementation of Probabilistic Programming Languages by Noah D. Goodman, Andreas Stuhlmüller

The Design and Implementation of Probabilistic Programming Languages

The Design and Implementation of Probabilistic Programming Languages by Noah D. Goodman, Andreas Stuhlmüller
The Design and Implementation of Probabilistic Programming Languages by Noah D. Goodman, Andreas Stuhlmüller
Publisher: dippl.org 2016
Number of pages: 215
This book explains how to implement PPLs by lightweight embedding into a host language. We illustrate this by designing and implementing WebPPL, a small PPL embedded in Javascript. We show how to implement several algorithms for universal probabilistic inference, including priority-based enumeration with caching, particle filtering, and Markov chain Monte Carlo.
Computers & Internet Computer Science Programming Language Theory
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