Frames causal inference methods as representation learners to derive general and estimable error bounds, extending them to unobserved confounding via robust statistics.
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Quantifying Error in the Presence of Confounders for Causal Inference
Frames causal inference methods as representation learners to derive general and estimable error bounds, extending them to unobserved confounding via robust statistics.