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stat.ME2024★ 1 cited
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu, Nathan Kallus
Accurately predicting conditional average treatment effects (CATEs) is crucial in personalized medicine and digital platform analytics. Since the treatments of interest often canno…
cs.AI2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett, Nathan Kallus, Miruna Oprescu +2
We study the evaluation of a policy under best- and worst-case perturbations to a Markov decision process (MDP), using transition observations from the original MDP, whether they a…