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HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Wever, M. D., Muschalik, M., Fumagalli, F. & Lindauer, M., 2026, (Accepted/In press) Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
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Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network
Eimer, T., Schäpermeier, L., Biedenkapp, A., Tornede, A., Kotthoff, L., Leyman, P., Feurer, M., Eggensperger, K., Maile, K., Tornede, T., Kozak, A., Xue, K., Wever, M. D., Baratchi, M., Pulatov, D., Trautmann, H., Kashgarani, H. & Lindauer, M., 2025, (E-pub ahead of print).Research output: Working paper/Preprint › Preprint
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DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
Segel, S., Graf, H., Bergman, E., Thieme, K., Wever, M. D., Tornede, A., Hutter, F. & Lindauer, M., 2025, (Accepted/In press) In: Journal of Machine Learning Research. 2025, 26Research output: Contribution to journal › Article › Research › peer review
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Imprecise Acquisition in Bayesian Optimization
Margraf, V., Hanselle, J., Rodemann, J., Vollmer, S. J., Wever, M. D. & Hüllermeier, E., 2025, (Accepted/In press).Research output: Contribution to conference › Paper › Research › peer review
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Information Leakage Detection through Approximate Bayes-optimal Prediction
Gupta, P., Wever, M. D. & Hüllermeier, E., Nov 2025, In: Information Sciences. 719, 122419.Research output: Contribution to journal › Article › Research › peer review
Open Access
Marcel Dominik Wever
Dr.