2026
A Causal Target for Learning to Defer Under Hidden Confounding
AAAI 2026technical
Learning decision policies from confounded observational data is a challenging task in causal inference, as unobserved confounders can lead to biased or suboptimal actions when relying solely on machine learning models. A synergistic approach is learning to defer, which decides when to act itself an