2023
Structure Learning with Adaptive Random Neighborhood Informed MCMC
NeurIPS 2023poster
In this paper, we introduce a novel MCMC sampler, PARNI-DAG, for a fully-Bayesian approach to the problem of structure learning under observational data. Under the assumption of causal sufficiency, the algorithm allows for approximate sampling directly from the posterior distribution on Directed Acy…