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HackPPL: a universal probabilistic programming language

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Abstract

HackPPL is a probabilistic programming language (PPL) built within the Hack programming language. Its universal inference engine allows developers to perform inference across a diverse set of models expressible in arbitrary Hack code. Through language-level extensions and direct integration with developer tools, HackPPL aims to bridge the gap between domain-specific and embedded PPLs. This paper overviews the design and implementation choices for the HackPPL toolchain and presents findings by applying it to a representative problem faced by social media companies.

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Publication details

DOI
10.1145/3315508.3329974
OpenAlex
W2968479890
Document type
conference-paper
Language
EN
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