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Yusuf Sale
Yusuf Sale
LMU Munich
Bestätigte E-Mail-Adresse bei ifi.lmu.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
L Wimmer, Y Sale, P Hofman, B Bischl, E Hüllermeier
Uncertainty in Artificial Intelligence, 2282-2292, 2023
222023
Is the volume of a credal set a good measure for epistemic uncertainty?
Y Sale, M Caprio, E Hüllermeier
Uncertainty in Artificial Intelligence, 1795-1804, 2023
112023
Second-order uncertainty quantification: A distance-based approach
Y Sale, V Bengs, M Caprio, E Hüllermeier
arXiv preprint arXiv:2312.00995, 2023
52023
A novel Bayes’ theorem for upper probabilities
M Caprio, Y Sale, E Hüllermeier, I Lee
International Workshop on Epistemic Uncertainty in Artificial Intelligence, 1-12, 2023
42023
Second-order uncertainty quantification: Variance-based measures
Y Sale, P Hofman, L Wimmer, E Hüllermeier, T Nagler
arXiv preprint arXiv:2401.00276, 2023
32023
Conformal prediction with partially labeled data
A Javanmardi, Y Sale, P Hofman, E Hüllermeier
Conformal and Probabilistic Prediction with Applications, 251-266, 2023
12023
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
P Hofman, Y Sale, E Hüllermeier
arXiv preprint arXiv:2404.12215, 2024
2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
J Rodemann, F Croppi, P Arens, Y Sale, J Herbinger, B Bischl, ...
arXiv preprint arXiv:2403.04629, 2024
2024
G-Framework in statistics
Y Sale
Department of Statistics, 2022
2022
Robuste Minimax-Tests und eine Robustifizierung des Bayes-Faktors
Y Sale
Department of Statistics, 2019
2019
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