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cs.LG2022
Towards Clear Expectations for Uncertainty Estimation
Victor Bouvier, Simona Maggio, Alexandre Abraham +1
If Uncertainty Quantification (UQ) is crucial to achieve trustworthy Machine Learning (ML), most UQ methods suffer from disparate and inconsistent evaluation protocols. We claim th…
cs.LG2022
Performance Prediction Under Dataset Shift
Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt
ML models deployed in production often have to face unknown domain changes, fundamentally different from their training settings. Performance prediction models carry out the crucia…