Lilith Mattei

Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption

2021 · arXiv (Cornell University)

Probabilistic sentential decision diagrams are a class of structured-decomposable probabilistic circuits especially designed to embed logical constraints. To adapt the classical LearnSPN scheme to learn the structure of these models, we propose a new scheme …