Scalable Learning of Bayesian Network Classifiers
Structure Discovery in Bayesian Networks by Sampling Partial Orders∗
BayesPy: Variational Bayesian Inference in Python
LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems
Structure Learning in Bayesian Networks of a Moderate Size by EfficientSampling
A Gibbs Sampler for Learning DAGs
Learning the Variance of the Reward-To-Go