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Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
Abstract: Distribution-free uncertainty estimation for ensemble methods is increasingly desirable due to the widening deployment of multi-modal black-box predictive models. Conformal prediction is one approach that avoids making strong distributional assumptions. Methods for conformal aggregation have been proposed for ensembled prediction ...
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