Annika Schneider

Decision-Aligned Evaluation of Uncertainty Quantification

Annika Schneider, Tommy Rochussen, Joshua Stiller, Vincent Fortuin

Uncertainty estimates in machine learning are typically evaluated using generic metrics such as the negative log-likelihood and expected calibration error, yet good performance on such metrics does not necessarily imply high utility in downstream decisions. We introduce decision-…Read more