2025
Continuous Bayesian Model Selection for Multivariate Causal Discovery
ICML 2025poster
Current causal discovery approaches require restrictive model assumptions in the absence of interventional data to ensure structure identifiability. These assumptions often do not hold in real-world applications leading to a loss of guarantees and poor performance in practice. Recent work has shown…