@inproceedings{bickford-smith2024rethinking,
author = {Bickford-Smith, Freddie and Kossen, Jannik and Trollope, Eleanor and Wilk, Mark van der and Foster, Adam and Rainforth, Tom},
title = {Rethinking Aleatoric and Epistemic Uncertainty},
booktitle = {ICML 2025},
year = {2024},
month = {December},
abstract = {The ideas of aleatoric and epistemic uncertainty are widely used to reason about the probabilistic predictions of machine-learning models. We identify incoherence in existing discussions of these ideas and suggest this stems from the aleatoric-epistemic view being insufficiently expressive to capture all of the distinct quantities that researchers are interested in. To explain and address this we derive a simple delineation of different model-based uncertainties and the data-generating processes associated with training and evaluation. Using this in place of the aleatoric-epistemic view could produce clearer discourse as the field moves forward.},
url = {http://approjects.co.za/?big=en-us/research/publication/rethinking-aleatoric-and-epistemic-uncertainty/},
}