Proposes influence function projection exploiting graphical independence constraints for more efficient semiparametric estimation of bounds on average causal effects under sensitivity models for unmeasured confounding.
Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence , pages=
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