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Home/Authors/Eyke Hüllermeier

Eyke Hüllermeier

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

17

papers

342

total citations

papers (17)

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation

NEURIPS 2022arXiv

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

NEURIPS 2023arXiv

Approximating the Shapley Value without Marginal Contributions

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

Second-Order Uncertainty Quantification: A Distance-Based Approach

Koopman Kernel Regression

NEURIPS 2023arXiv

Inverse Constitutional AI: Compressing Preferences into Principles

Position: Why We Must Rethink Empirical Research in Machine Learning

Credal Self-Supervised Learning

NEURIPS 2021arXiv

Mitigating Label Noise through Data Ambiguation

Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget

NEURIPS 2022arXiv

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks

DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions

NEURIPS 2025arXiv

Identification of the Generalized Condorcet Winner in Multi-dueling Bandits

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?