We propose ordering-based approaches for learning the maximal ancestral graph (MAG) of
a structural equation model (SEM) up to its Markov equivalence class (MEC) in the presence …

Causal partitioning is an effective approach for causal discovery based on the divide-and-
conquer strategy. Up to now, various heuristic methods based on conditional independence …

Causal discovery is a technique to find the causal relationship between variables using
data. This technique has many applications in data mining and knowledge discovery …

This paper presents a novel approach to causal discovery through a divide-and-conquer
framework. By decomposing the problem into smaller subproblems defined on Markov …

This paper introduces CausalBO, a Python package developed to enhance the applicability
and utility of the Causal Bayesian Optimization (CBO) algorithm. The original CBO algorithm …