An ensemble of quantile regressors plus an iterative data-augmentation algorithm separates aleatoric from epistemic uncertainty in synthetic tasks.
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Uncertainty separation via ensemble quantile regression
An ensemble of quantile regressors plus an iterative data-augmentation algorithm separates aleatoric from epistemic uncertainty in synthetic tasks.