Probabilistic Inference for Datalog with Correlated Inputs

Probabilistic extensions of logic programming languages, such as ProbLog, integrate logical reasoning with probabilistic inference to evaluate probabilities of output relations; however, prior work does not account for potential statistical correlations among input facts. This paper introduces Prali...

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Vydané v:	Proceedings of ACM on programming languages Ročník 9; číslo OOPSLA2; s. 220 - 247
Hlavní autori:	Wang, Jingbo, Halalingaiah, Shashin, Chen, Weiyi, Wang, Chao, Dillig, Işıl
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 09.10.2025
Predmet:	Constraint and logic programming Mathematical optimization Mathematics of computing Probabilistic inference problems Theory of computation probabilistic logic programming constrained optimization type inference
ISSN:	2475-1421, 2475-1421
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