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Veröffentlichungsdatum
Anzahl der Publikationen: 4
2025
Caprio, Michele; Sale, Yusuf und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(15. Juli 2025):
Conformal prediction regions are imprecise highest density regions.
Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, Bielefeld, Germany, 15. - 18. July, 2025.
Destercke, Sébastien; Erreygers, Alexander; Nendel, Max; Riedel, Frank und Troffaes, Matthias C. M. (Hrsg.):
Bd. 290
PMLR. S. 47-59
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(15. Juli 2025):
Conformal prediction regions are imprecise highest density regions.
Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, Bielefeld, Germany, 15. - 18. July, 2025.
Destercke, Sébastien; Erreygers, Alexander; Nendel, Max; Riedel, Frank und Troffaes, Matthias C. M. (Hrsg.):
Bd. 290
PMLR. S. 47-59
[PDF, 2MB]
2024
Sale, Yusuf; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Caprio, Michele und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2024):
Second-Order Uncertainty Quantification: A Distance-Based Approach.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 43060-43076
[PDF, 2MB]
ORCID: https://orcid.org/0000-0001-6988-6186; Caprio, Michele und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2024):
Second-Order Uncertainty Quantification: A Distance-Based Approach.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 43060-43076
[PDF, 2MB]
2023
Caprio, Michele; Sale, Yusuf; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Lee, Insup
(4. August 2023):
A Novel Bayes’ Theorem for Upper Probabilities.
Epi UAI 2023 - First International Workshop on Epistemic Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA, August 4, 2023.
In: Epistemic Uncertainty in Artificial Intelligence,
Bd. 14523
S. 1-12
[PDF, 171kB]
ORCID: https://orcid.org/0000-0002-9944-4108 und Lee, Insup
(4. August 2023):
A Novel Bayes’ Theorem for Upper Probabilities.
Epi UAI 2023 - First International Workshop on Epistemic Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA, August 4, 2023.
In: Epistemic Uncertainty in Artificial Intelligence,
Bd. 14523
S. 1-12
[PDF, 171kB]
Sale, Yusuf; Caprio, Michele und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2023):
Is the volume of a credal set a good measure for epistemic uncertainty?
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
Evans, Robin J. und Shpitser, Ilya (Hrsg.):
In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,
Bd. 216
PMLR. S. 1795-1804
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(August 2023):
Is the volume of a credal set a good measure for epistemic uncertainty?
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
Evans, Robin J. und Shpitser, Ilya (Hrsg.):
In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,
Bd. 216
PMLR. S. 1795-1804
[PDF, 1MB]