2016 NIPS NeurIPS 2016

Tractable Operations for Arithmetic Circuits of Probabilistic Models

Abstract

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.

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📈 Trend Setter — Knowledge Representation
🧭 Keyword Pioneer — probabilistic sentential decision diagram
🐣 Hot Topic Early Bird — probabilistic modeling
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