Under higher-order calibration, a model's aleatoric uncertainty estimate equals the true average aleatoric uncertainty over the set of inputs where the same prediction is made.
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Provable Uncertainty Decomposition via Higher-Order Calibration
Under higher-order calibration, a model's aleatoric uncertainty estimate equals the true average aleatoric uncertainty over the set of inputs where the same prediction is made.