Post-ADC inference supplies valid p-values and confidence intervals for data-dependent targets after active data collection by extending selective inference to correct for both adaptive sampling bias and post-hoc target selection, relying only on noise assumptions.
Selective inference with a randomized response.The Annals of Statistics, 46(2):679–710
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Post-ADC Inference: Valid Inference After Active Data Collection
Post-ADC inference supplies valid p-values and confidence intervals for data-dependent targets after active data collection by extending selective inference to correct for both adaptive sampling bias and post-hoc target selection, relying only on noise assumptions.
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Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarking
SIREN corrects winner's curse bias in adaptive LLM benchmarking via selection-aware repeated splits and bootstrap for valid procedure-level confidence intervals.