Compositional probabilistic and causal inference using tractable circuit models

Probabilistic circuits (PCs) are a class of tractable probabilistic models, which admit efficient inference routines depending on their structural properties. In this paper, we introduce md-vtrees, a novel structural formulation of (marginal) determinism in structured decomposable PCs, which general...

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Hlavní autoři: Wang, B, Kwiatkowska, M
Médium: Conference item
Jazyk:English
Vydáno: Journal of Machine Learning Research 2023