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Kenichiro McAlinn

2 accepted papers

2022

Learning Causal Models from Conditional Moment Restrictions by Importance Weighting

ICLR 2022spotlight

We consider learning causal relationships under conditional moment restrictions. Unlike causal inference under unconditional moment restrictions, conditional moment restrictions pose serious challenges for causal inference. To address this issue, we propose a method that transforms conditional momen…

Cited by 9SourcePDFScholar
2021

The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy

NeurIPS 2021poster

The doubly robust (DR) estimator, which consists of two nuisance parameters, the conditional mean outcome and the logging policy (the probability of choosing an action), is crucial in causal inference. This paper proposes a DR estimator for dependent samples obtained from adaptive experiments. To ob…

Cited by 11SourcePDFScholar