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Rina Foygel Barber

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#machine learning Preprint Sep 2026

Rolling Conformal Prediction in Sequential Model Training

Rolling Conformal Prediction is introduced, a distribution-free predictive inference method for the setting of sequential model training that proves high-probability training-conditional validity uniformly over time; under stability conditions, coverage guarantees sharpen towards $1-\alpha$.

Chen Cheng, Rui-Ting Liang, Rina Foygel Barber · 0 citations