Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks
arXiv:2605.10590v1 Announce Type: new
Abstract: Causal sensitivity analysis aims to provide bounds for causal effect estimates in the presence of unobserved confounding. However, existing methods for causal sensitivity analysis are per-instance proced…