Sparse Probabilistic Circuits via Pruning and Growing Meihua Dang Anji Liu Guy Van den Broeck CS Department CS Department CS Department UCLA

Neural Information Processing Systems 

Probabilistic circuits (PCs) are a tractable representation of probability distributions allowing for exact and efficient computation of likelihoods and marginals. There has been significant recent progress on improving the scale and expressiveness of PCs.