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cs.LG2025
Smooth Calibration and Decision Making
Jason Hartline, Yifan Wu, Yunran Yang
Calibration requires predictor outputs to be consistent with their Bayesian posteriors. For machine learning predictors that do not distinguish between small perturbations, calibra…
cs.LG2025
Conformal Prediction and Human Decision Making
Jessica Hullman, Yifan Wu, Dawei Xie +2
Methods to quantify uncertainty in predictions from arbitrary models are in demand in high-stakes domains like medicine and finance. Conformal prediction has emerged as a popular m…