Yusuf Sale

According to our database, Yusuf Sale authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label-wise Aleatoric and Epistemic Uncertainty Quantification.

Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier

CoRR, 2024

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules.

Paul Hofman, Yusuf Sale, Eyke Hüllermeier

CoRR, 2024

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio

CoRR, 2024

Second-Order Uncertainty Quantification: Variance-Based Measures.

Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler

CoRR, 2024

Second-Order Uncertainty Quantification: A Distance-Based Approach.

Yusuf Sale, Viktor Bengs, Michele Caprio, Eyke Hüllermeier

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Novel Bayes' Theorem for Upper Probabilities.

Michele Caprio, Yusuf Sale, Eyke Hüllermeier, Insup Lee

Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023

Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Is the volume of a credal set a good measure for epistemic uncertainty?

Yusuf Sale, Michele Caprio, Eyke Hüllermeier

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Conformal Prediction with Partially Labeled Data.

Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023