Offline evaluation of deterministic top-k allocation is trustworthy only under logger-target action alignment and credible propensities; nuisance-only cross-fitting worsens the optimizer's curse, and propensity-estimation error can invert the overlap screen.
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When Can You Trust Offline Evaluation of Equal-Cost Top-k Allocation? A Controlled, Reproducible Benchmark and Practitioner's Guide
Offline evaluation of deterministic top-k allocation is trustworthy only under logger-target action alignment and credible propensities; nuisance-only cross-fitting worsens the optimizer's curse, and propensity-estimation error can invert the overlap screen.