A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
arXiv:2605.10651v1 Announce Type: cross
Abstract: Constraint-based causal discovery is widely used for learning causal structures, but heavy reliance on conditional independence (CI) testing makes it computationally expensive in high-dimensional setti…