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  • title: Tractable Regularization of Probabilistic Circuits
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            Tractable Regularization of Probabilistic Circuits
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            Tractable Regularization of Probabilistic Circuits

            Dec 6, 2021

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            Anji Liu

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            Guy Van den Broeck

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            About

            Probabilistic Circuits (PCs) are a promising avenue for probabilistic modeling. They combine advantages of probabilistic graphical models (PGMs) with those of neural networks (NNs). Crucially, however, they are tractable probabilistic models, supporting efficient and exact computation of many probabilistic inference queries, such as marginals and MAP. Further, since PCs are structured computation graphs, they can take advantage of deep-learning-style parameter updates, which greatly improves the…

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            NeurIPS 2021

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