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Sébastien Melo

1 accepted papers

2026

Epistemic Uncertainty Quantification To Improve Decisions From Black-Box Models

ICLR 2026poster

Distinguishing a model's lack of knowledge (epistemic uncertainty) from inherent task randomness (aleatoric uncertainty) is crucial for reliable AI. However, standard evaluation metrics of confidence scores target different aspects. AUC and accuracy capture predictive signal, proper scoring rules ca…

Cited by 0SourcecodeScholar