Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding

Yoshimitsu Morinishi, Shohei Shimizu

We propose a novel score-based causal discovery method, named ABIC LiNGAM, which extends the linear non-Gaussian acyclic model (LiNGAM) framework to address the challenges of causa…