Introduces a tournament correction framework for approximating full conformal prediction with rigorous 1-2α marginal coverage guarantees that generalize leave-one-out cross-conformal prediction.
Approximating full conformal prediction for neural network regression with gauss-newton influence.arXiv preprint arXiv:2507.20272,
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Approximating full conformal prediction: distribution free guarantees via the tournament correction
Introduces a tournament correction framework for approximating full conformal prediction with rigorous 1-2α marginal coverage guarantees that generalize leave-one-out cross-conformal prediction.