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.
Merging uncertainty sets via majority vote
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The book curates and presents proofs of important existing results in conformal prediction in a unified pedagogical format with illustrations.
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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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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.