Jul 2026
Geometric Causal Models
This work develops geometric causal models (GCMs), a framework for causal inference from dependent data that exploits underlying symmetries of the data generating process, and shows how symmetries, formalized with group theory, can enable causal identification and estimation.
E. Weinstein, D. Blei
· arXiv.org · 0 citations