| 2024 | AAAI | Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. | Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer |
| 2024 | ICML | Position: A Call to Action for a Human-Centered AutoML Paradigm. | Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mller, Frank Hutter, Matthias Feurer, Bernd Bischl |
| 2023 | IJCAI | A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). | Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hllermeier, Kevin Tierney |
| 2022 | AAAI | Machine Learning for Online Algorithm Selection under Censored Feedback. | Alexander Tornede, Viktor Bengs, Eyke Hllermeier |
| 2021 | GECCO | Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. | Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2021 | PAKDD | Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. | Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2020 | ACML | Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. | Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hllermeier |
| 2020 | DIS | Extreme Algorithm Selection with Dyadic Feature Representation. | Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2020 | IDA | LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. | Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hllermeier |
| 2020 | KI | Hybrid Ranking and Regression for Algorithm Selection. | Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2019 | GI | From Automated to On-The-Fly Machine Learning. | Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hllermeier |