e4165c96702bac5f4962b70f3cf2f136-Paper-Conference.pdf

Neural Information Processing Systems 

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.

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