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Online Individualized Treatment Selection under Partial Feedback: False Discovery Control and Minimax Optimality
We study online individualized treatment selection when only the outcome under the assigned treatment is observed. Our objective is to preferentially treat individuals whose potential outcomes under treatment exceed a covariate-specific control reference, while limiting false discoveries among treat
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