2023
Kernel Conditional Moment Constraints for Confounding Robust Inference
AISTATS 2023poster
We study policy evaluation of offline contextual bandits subject to unobserved confounders. Sensitivity analysis methods are commonly used to estimate the policy value under the worst-case confounding over a given uncertainty set. However, existing work often resorts to some coarse relaxation of the…