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Found 3 papers, 1 papers with code
Computationally efficient versions of conformal predictive distributions
Conformal predictive systems are a recent modification of conformal predictors that output, in regression problems, probability distributions for labels of test observations rather than set predictions.
Conformal predictive distributions with kernels
This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new.
Multi-class probabilistic classification using inductive and cross Venn-Abers predictors
Inductive (IVAP) and cross (CVAP) Venn–Abers predictors are computationally efficient algorithms for probabilistic prediction in binary classification problems.
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