Derives simultaneous high-probability upper bounds on realized FDP for conformal p-values that hold for arbitrary post-hoc thresholds via an envelope on the null empirical distribution function.
arXiv preprint arXiv:2507.15825 , year=
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Introduces SCQ and P-TAMS for structure-adaptive conformal inference under pairwise exchangeability, claiming finite-sample FDR control for large-scale OOD testing.
PH-CS produces a path of conformal selection sets with finite-sample post-hoc FDP estimates so users can maximize a utility balancing selection size and FDR after seeing data.
citing papers explorer
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Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference
Derives simultaneous high-probability upper bounds on realized FDP for conformal p-values that hold for arbitrary post-hoc thresholds via an envelope on the null empirical distribution function.
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Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
Introduces SCQ and P-TAMS for structure-adaptive conformal inference under pairwise exchangeability, claiming finite-sample FDR control for large-scale OOD testing.
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Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
PH-CS produces a path of conformal selection sets with finite-sample post-hoc FDP estimates so users can maximize a utility balancing selection size and FDR after seeing data.
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