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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Veröffentlicht in:	Proceedings of ACM on programming languages Jg. 9; H. OOPSLA2; S. 220 - 247
Hauptverfasser:	Wang, Jingbo, Halalingaiah, Shashin, Chen, Weiyi, Wang, Chao, Dillig, Işıl
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 09.10.2025
Schlagworte:	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
Online-Zugang:	Volltext
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