Paradoxes of probabilistic programming: and how to condition on events of measure zero with infinitesimal probabilities

Abstract Probabilistic programming languages allow programmers to write down conditional probability distributions that represent statistical and machine learning models as programs that use observe statements. These programs are run by accumulating likelihood at each observe statement, and using th...

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Veröffentlicht in:	Proceedings of ACM on programming languages Jg. 5; H. POPL; S. 1 - 26
1. Verfasser:	Jacobs, Jules
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.01.2021
ISSN:	2475-1421, 2475-1421
Online-Zugang:	Volltext
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