Conformal Robustness in Prediction-Driven Decision-Making
Modern prediction-driven decision systems often rely on black-box predictors, but a point forecast alone does not provide the uncertainty scale required for robust downstream decision-making. We build a score-calibrated robustness framework that converts any fixed point predictor into a decision-relevant uncertainty re...
Ling-Jie Zhao, Han-Sheng Jiang, Wei Qi
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