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Eyke Hüllermeier

Ludwig-Maximilians-Universität München

Munich Center for Machine Learning (MCML), Munich, Germany

SCHOLARLY PAPERS

4

DOWNLOADS

1,476

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Position: Agentic AI Systems should be making Bayes-Consistent Decisions

ESSEC Business School Research Paper Forthcoming
Number of pages: 18 Posted: 29 Jan 2026 Last Revised: 20 Apr 2026
PolyShape, ESSEC Business School, Independent, VinUniversity, Imperial College London, affiliation not provided to SSRN, King Abdullah University of Science and Technology (KAUST), Mayo Clinic, University of Technology Nuremberg, National Technical University of Athens, Ludwig-Maximilians-Universität München, Chan Zuckerberg Initiative, RIKEN, the Institute of Physical and Chemical Research, Mohamed bin Zayed University of Artificial Intelligence, Mohamed bin Zayed University of Artificial Intelligence, Imperial College London, University of Notre Dame, affiliation not provided to SSRN, RIKEN, the Institute of Physical and Chemical Research, Spotify, Mohamed bin Zayed University of Artificial Intelligence, Ludwig Maximilian University of Munich (LMU), Cognizant Technology Solutions, Mohamed bin Zayed University of Artificial Intelligence, University College London, KTH Royal Institute of Technology, Ghent University, New York University and Beijing Institute of Mathematical Sciences and Applications
Downloads 1,142 (52,188)

Abstract:

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Bayesian decision theory, AI agents, Agentic orchestration, LLMs

2.

Uncertainty Quantification in Ordinal Classification: A Comparison of Measures

Number of pages: 39 Posted: 24 Sep 2024
Stefan Haas and Eyke Hüllermeier
BMW Group and Ludwig-Maximilians-Universität München
Downloads 195 (389,821)

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Ordinal Classification, Ordinal Regression, Uncertainy Quantification, Probabilistic Classification, Consensus, Binary Decomposition

3.

The Aleatoric-Epistemic Dichotomy of Uncertainty is Meaningful and Indispensable for Machine Learning

Number of pages: 14 Posted: 27 May 2026
Yusuf Sale, Nikita Kotelevskii, Maxim Panov and Eyke Hüllermeier
Ludwig Maximilian University of Munich (LMU), Mohamed bin Zayed University of Artificial Intelligence, Mohamed bin Zayed University of Artificial Intelligence and Ludwig-Maximilians-Universität München
Downloads 90 (1,304,549)

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Uncertainty, Aleatoric-Epistemic Dichotomy, Uncertainty In Machine Learning, Uncertainty Quantification, Uncertainty Representation

4.

Information Leakage Detection Through Approximate Bayes-Optimal Prediction

Number of pages: 89 Posted: 21 Sep 2024
Pritha Gupta, Marcel Wever and Eyke Hüllermeier
affiliation not provided to SSRN, affiliation not provided to SSRN and Ludwig-Maximilians-Universität München
Downloads 49 (1,086,013)

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Information Leakage Detection, Mutual Information, Privacy, Bayes-optimal Predictor, AutoML, Statistical Tests