The Sum-Product Theorem: A Foundation for Learning Tractable Models

ICML, pp. 1909-1918, 2012.

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Abstract:

Inference in expressive probabilistic models is generally intractable, which makes them difficult to learn and limits their applicability. Sum-product networks are a class of deep models where, surprisingly, inference remains tractable even when an arbitrary number of hidden layers are present. In this paper, we generalize this result to ...More

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