Yusuf Sale

According to our database, Yusuf Sale authored at least 24 papers between 2023 and 2026.

Collaborative distances:

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

2026

Position: agentic AI orchestration should be Bayes-consistent.

Theodore Papamarkou, Pierre Alquier, Matthias Bauer, Wray L. Buntine, Andrew Davison, Gintare Karolina Dziugaite, Maurizio Filippone, Andrew Y. K. Foong, Vincent Fortuin, Dimitris Fouskakis, Jes Frellsen, Eyke Hüllermeier, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Nikita Kotelevskii, Salem Lahlou, Yingzhen Li, Fang Liu, Clare Lyle, Thomas Möllenhoff, Konstantina Palla, Maxim Panov, Yusuf Sale, Kajetan Schweighofer, Artem Shelmanov, Siddharth Swaroop, Martin Trapp, Willem Waegeman, Andrew Gordon Wilson, Alexey Zaytsev

CoRR, May, 2026

Quantification of Credal Uncertainty: A Distance-Based Approach.

Xabier Gonzalez-Garcia, Siu Lun Chau, Julian Rodemann, Michele Caprio, Krikamol Muandet, Humberto Bustince, Sébastien Destercke, Eyke Hüllermeier, Yusuf Sale

CoRR, March, 2026

Efficient Credal Prediction through Decalibration.

Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier

CoRR, March, 2026

Quantifying Epistemic Predictive Uncertainty in Conformal Prediction.

Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale, Michele Caprio

CoRR, February, 2026

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All.

Paul Hofman, Yusuf Sale, Eyke Hüllermeier

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores.

Christopher Bülte, Yusuf Sale, Gitta Kutyniok, Eyke Hüllermeier

CoRR, October, 2025

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks.

Paul Hofman, Yusuf Sale, Eyke Hüllermeier

CoRR, May, 2025

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.

Christopher Bülte, Yusuf Sale, Timo Löhr, Paul Hofman, Gitta Kutyniok, Eyke Hüllermeier

CoRR, April, 2025

Online Selective Conformal Prediction: Errors and Solutions.

Yusuf Sale, Aaditya Ramdas

CoRR, March, 2025

Conformal Prediction in Hierarchical Classification.

Thomas Mortier, Alireza Javanmardi, Yusuf Sale, Eyke Hüllermeier, Willem Waegeman

CoRR, January, 2025

Online Selective Conformal Inference: Errors and Solutions.

Yusuf Sale, Aaditya Ramdas

Trans. Mach. Learn. Res., 2025

Conformal Prediction without Nonconformity Scores.

Jonas Hanselle, Alireza Javanmardi, Tobias Florin Oberkofler, Yusuf Sale, Eyke Hüllermeier

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

Conformal prediction regions are imprecise highest density regions.

Michele Caprio, Yusuf Sale, Eyke Hüllermeier

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2025

Aleatoric and Epistemic Uncertainty in Conformal Prediction.

Yusuf Sale, Alireza Javanmardi, Eyke Hüllermeier

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

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

Label-wise Aleatoric and Epistemic Uncertainty Quantification.

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

Proceedings of the Uncertainty in Artificial Intelligence, 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