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2016 NeurIPS NeurIPS 2016

Tractable Operations for Arithmetic Circuits of Probabilistic Models

We consider tractable representations of probability distributions and the polytime operations they support. In particular, we consider a recently proposed arithmetic circuit representation, the Probabilistic Sentential Decision Diagram (PSDD). We show that PSDD supports a polytime multiplication operator, while they do not support a polytime operator for summing-out variables. A polytime multiplication operator make PSDDs suitable for a broader class of applications compared to arithmetic circuits, which do not in general support multiplication. As one example, we show that PSDD multiplication leads to a very simple but effective compilation algorithm for probabilistic graphical models: represent each model factor as a PSDD, and then multiply them.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Knowledge & Reasoning and Mathematics & Optimization
📈 Trend Setter - Knowledge Representation
🐣 Hot Topic Early Bird - probabilistic modeling

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