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A calibration test for evaluating set-based epistemic uncertainty representations
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Is epistemic uncertainty faithfully represented by evidential deep learning methods?
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On second-order scoring rules for epistemic uncertainty quantification
(2023) INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 202. In Proceedings of Machine Learning Research 202. p.2078-2091 -
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On the calibration of probabilistic classifier sets
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Pitfalls of epistemic uncertainty quantification through loss minimisation