ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding
arXiv:2610.08078v1 Announce Type: new Abstract: Standard causal identification methods often assume no unmeasured confounding and can fail when relevant confounders are unobserved. Proximal causal inference instead uses proxy variables to identify effects under hidden confounding. However, nonparam…
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- 2026-10-07 04:00 · arXiv stat.ML
ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding