Causal Discovery for Linear Models with Latent Confounding via Multi-domain Identifiable Representation Learning.

arXiv:2610.28134v1 Announce Type: cross Abstract: Causal discovery with latent confounding is particularly challenging, but a common setting in real-world data. In this work, we focus on linear causal models with latent confounding, represented by acyclic dire