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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格式: | Conference item |
語言: | English |
出版: |
Journal of Machine Learning Research
2023
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