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Self-Calibrating Conformal Prediction

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    New Isotonic Conformal Prediction framework enhances model uncertainty quantification

    Researchers have introduced Isotonic Conformal Prediction (ICP), a new framework designed to improve the reliability of uncertainty quantification in machine learning models. ICP aims to achieve self-calibration and pre…