2025
Identifying Causal Direction via Variational Bayesian Compression
ICML 2025spotlight
Telling apart the cause and effect between two random variables with purely observational data is a challenging problem that finds applications in various scientific disciplines. A key principle utilized in this task is the algorithmic Markov condition, which postulates that the joint distribution,…