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cs.LG2023★ 2 cited
Bayesian Structure Scores for Probabilistic Circuits
Yang Yang, Gennaro Gala, Robert Peharz
Probabilistic circuits (PCs) are a prominent representation of probability distributions with tractable inference. While parameter learning in PCs is rigorously studied, structure…
cs.LG2012★ 5 cited
Exact Maximum Margin Structure Learning of Bayesian Networks
Robert Peharz, Franz Pernkopf
Recently, there has been much interest in finding globally optimal Bayesian network structures. These techniques were developed for generative scores and can not be directly extend…