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stat.ME2026
Conformal Prediction for Regression with Clipped Outcomes
Matteo Sesia, Vladimir Svetnik
We study conformal prediction for regression using calibration data with outcomes that are doubly censored (clipped) at known fixed thresholds. We show that existing methods are un…
stat.ME2026
Elements of Conformal Prediction
Matteo Sesia, Stefano Favaro
Predictive inference is a fundamental task in statistics, traditionally addressed using parametric assumptions about the data distribution and detailed analyses of how models learn…