2023
When Does Optimizing a Proper Loss Yield Calibration?
NeurIPS 2023spotlight
Optimizing proper loss functions is popularly believed to yield predictors with good calibration properties; the intuition being that for such losses, the global optimum is to predict the ground-truth probabilities, which is indeed calibrated. However, typical machine learning models are trained to…