Mohammad Shahverdikondori

QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs

Causal discovery is essential for understanding relationships among variables of interest in many scientific domains. In this paper, we focus on permutation-based methods for learning causal graphs in Linear Gaussian Acyclic Models (LiGAMs), where the permutation encodes a causal ordering of the var…