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stat.ML2025
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Lars van der Laan, Ahmed Alaa
Ensuring model calibration is critical for reliable prediction, yet popular distribution-free methods such as histogram binning and isotonic regression offer only asymptotic guaran…
stat.ML2024
Self-Calibrating Conformal Prediction
Lars van der Laan, Ahmed M. Alaa
In machine learning, model calibration and predictive inference are essential for producing reliable predictions and quantifying uncertainty to support decision-making. Recognizing…