| 2026 | AAAI | HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization. | Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer |
| 2026 | GECCO | Evolutionary Mapping of Neural Networks to Spatial Accelerators. | Alessandro Pierro, Jason Yik, Jonathan Timcheck, Marius Lindauer, Eyke Hllermeier, Marcel Wever |
| 2025 | EDBT | How Green is AutoML for Tabular Data? | Felix Neutatz, Marius Lindauer, Ziawasch Abedjan |
| 2025 | GECCO | SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration. | Valentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hllermeier, Marius Lindauer |
| 2024 | AAAI | Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. | Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer |
| 2024 | ECAI | Hyperparameter Importance Analysis for Multi-Objective AutoML. | Daphne Theodorakopoulos, Frederic T. Stahl, Marius Lindauer |
| 2024 | GECCO | Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. | Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, 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 | GECCO | Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. | Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer |
| 2023 | ICML | Hyperparameters in Reinforcement Learning and How To Tune Them. | Theresa Eimer, Marius Lindauer, Roberta Raileanu |
| 2023 | SMC | Automated Machine Learning for Remaining Useful Life Predictions. | Marc-Andr Zller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber |
| 2022 | ICLR | $\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. | Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi |
| 2021 | ICML | TempoRL: Learning When to Act. | Andr Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer |
| 2021 | ICML | Self-Paced Context Evaluation for Contextual Reinforcement Learning. | Theresa Eimer, Andr Biedenkapp, Frank Hutter, Marius Lindauer |
| 2021 | IJCAI | DACBench: A Benchmark Library for Dynamic Algorithm Configuration. | Theresa Eimer, Andr Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer |
| 2020 | ECAI | Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework. | Andr Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer |
| 2020 | PPSN | Learning Step-Size Adaptation in CMA-ES. | Gresa Shala, Andr Biedenkapp, Noor H. Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter |
| 2019 | ECIR | Automated Algorithm Selection - Predict which algorithm to use! | Marius Lindauer |
| 2019 | ECIR | Hands-On Automated Machine Learning Tools: Auto-Sklearn and Auto-PyTorch. | Marius Lindauer |
| 2019 | IJCAI | An Evolution Strategy with Progressive Episode Lengths for Playing Games. | Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer |
| 2018 | AAAI | Warmstarting of Model-Based Algorithm Configuration. | Marius Lindauer, Frank Hutter |
| 2018 | IJCAI | Neural Networks for Predicting Algorithm Runtime Distributions. | Katharina Eggensperger, Marius Lindauer, Frank Hutter |
| 2017 | AAAI | Efficient Parameter Importance Analysis via Ablation with Surrogates. | Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos |
| 2017 | CEC | Improving local search in a minimum vertex cover solver for classes of networks. | Markus Wagner, Tobias Friedrich, Marius Lindauer |
| 2017 | IJCAI | AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). | Marius Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub |
| 2016 | SAT | SpyBug: Automated Bug Detection in the Configuration Space of SAT Solvers. | Norbert Manthey, Marius Lindauer |
| 2015 | AAAI | AutoFolio: Algorithm Configuration for Algorithm Selection. | Marius Lindauer, Holger H. Hoos, Frank Hutter, Torsten Schaub |
| 2015 | SAT | SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. | Stefan Falkner, Marius Lindauer, Frank Hutter |