AConsistentandDifferentiable LpCanonicalCalibrationErrorEstimator

Calibrated probabilistic classifiers are models whose predicted probabilities can directly be interpreted as uncertainty estimates. It has been shown recently that deep neural networks arepoorly calibratedandtend tooutput overconfident predictions.