Post-hoc conformal selection creates a path of selection sets with estimated false discovery proportions, enabling data-driven adaptive FDR control with average reliability guarantees via e-variables and e-BH.
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4 Pith papers cite this work. Polarity classification is still indexing.
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A finite-sample valid method discovers and selects covariate-interpretable subgroups with effect modification in matched observational studies, exactly controlling subgroup-level FDR and incorporating sensitivity analysis for unmeasured confounding.
Active hypothesis testing framework uses auxiliary statistics for data-adaptive budget allocation to produce valid p-values or e-values with optimality under independence and admissibility under dependence.
The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.
citing papers explorer
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Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
Post-hoc conformal selection creates a path of selection sets with estimated false discovery proportions, enabling data-driven adaptive FDR control with average reliability guarantees via e-variables and e-BH.
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Adaptive discovery of effect modification in matched observational studies
A finite-sample valid method discovers and selects covariate-interpretable subgroups with effect modification in matched observational studies, exactly controlling subgroup-level FDR and incorporating sensitivity analysis for unmeasured confounding.
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Active Hypothesis Testing under Computational Budgets with Applications to GWAS and LLM
Active hypothesis testing framework uses auxiliary statistics for data-adaptive budget allocation to produce valid p-values or e-values with optimality under independence and admissibility under dependence.
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Theoretical Foundations of Conformal Prediction
The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.