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Konferenzbeitrag
Bengs, Viktor 
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(2023):
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023.
Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.):
In: Proceedings of the 40th International Conference on Machine Learning,
Bd. 202
PMLR. S. 2078-2091
[PDF, 400kB]
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(2023):
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023.
Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.):
In: Proceedings of the 40th International Conference on Machine Learning,
Bd. 202
PMLR. S. 2078-2091
[PDF, 400kB]
Bengs, Viktor; Saha, Aadirupa und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39th International Conference on Machine Learning,
Bd. 162
PMLR. S. 1764-1786
[PDF, 3MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39th International Conference on Machine Learning,
Bd. 162
PMLR. S. 1764-1786
[PDF, 3MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(Juli 2022):
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.
39 th International Conference on Machine Learning, Baltimore, Maryland, USA, July 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 202,
Bd. 162
S. 8796-8810
[PDF, 32MB]