2018
Bayesian Structure Learning by Recursive Bootstrap
NeurIPS 2018poster
We address the problem of Bayesian structure learning for domains with hundreds of variables by employing non-parametric bootstrap, recursively. We propose a method that covers both model averaging and model selection in the same framework. The proposed method deals with the main weakness of constra…