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Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
We show that first-order debiasing of black-box ML estimators is optimal for estimating average treatment effect.
Jikai Jin
,
Vasilis Syrgkanis
PDF
ArXiv
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
We study the best-achievable identification guarantees and provable identification algorithms for causal representation learning when hard interventions are not available.
Jikai Jin
,
Vasilis Syrgkanis
Cite
ArXiv
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