Introduces a set-preserving P2E calibrator for conformal prediction that improves efficiency and supports exact 1-alpha coverage in cross-conformal prediction and conformal aggregation.
Merging uncertainty sets via majority vote
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
Novel methods for valid conformal prediction after data-dependent model selection without additional sample splitting, with finite-sample guarantees and asymptotic optimality under regularity conditions.
A hierarchical framework generates statistically valid task-level rank confidence intervals via pairwise comparisons and leaderboard-level rank prediction intervals via conformal prediction.
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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Set-Preserving Calibration from Conformal P-Values to E-Values
Introduces a set-preserving P2E calibrator for conformal prediction that improves efficiency and supports exact 1-alpha coverage in cross-conformal prediction and conformal aggregation.
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Conformal prediction after data-dependent model selection
Novel methods for valid conformal prediction after data-dependent model selection without additional sample splitting, with finite-sample guarantees and asymptotic optimality under regularity conditions.
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Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation
A hierarchical framework generates statistically valid task-level rank confidence intervals via pairwise comparisons and leaderboard-level rank prediction intervals via conformal prediction.
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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.