Research output per year
Research output per year
Personal profile
Academic career and education
- since Oct 2019: Professor of machine learning at the Leibniz University of Hannover
- 2014-2019: Postdoctoral research fellow at the University of Freiburg with focus on AutoML
- 2015: PhD in computer science at the University of Potsdam (summa cum laude) with focus on algorithm selection and configuration
- 2013: Co-Founder of the research network COSEAL (since 2018 advisory board member of COSEAL)
- 2010: Master of Science in computer science at the University of Potsdam
- 2008: Bachelor of Science in computer science at the University of Potsdam
- 2005: High school graduation (Abitur) in Berlin
Research interests
Automated machine learning, Hyperparameter Optimization, Bayesian Optimization, Reinforcement Learning, Interpretable Machine Learning
Teaching
- Lecture AutoML
- Lecture Reinforcement Learning
- Lecture Interpretable Maschine Learning
- Lecture Data Science
- Lecture Social Responsibility in AI
- Seminars: AutoML. RL, ...
- Lab: AutoML
Keywords
- Automated Machine Learning
- Deep Learning
- Hyperparameter Optimization
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Automated Data Preparation for Machine Learning: A Survey
Mladenovic, S., Lindauer, M. & Doerr, C., 2026, (E-pub ahead of print) In: Data-centric Machine Learning Research.Research output: Contribution to journal › Article › Research › peer review
Open Access -
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
Benjamins, C., Graf, H., Segel, S., Deng, D., Ruhkopf, T., Hennig, L., Basu, S., Mallik, N., Bergman, E., Chen, D., Clement, F., Tornede, A., Feurer, M., Eggensperger, K., Hutter, F., Doerr, C. & Lindauer, M., 15 Jun 2026, (E-pub ahead of print) In: Transactions on Machine Learning Research.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Dynamic Hyperparameter Importance for Efficient Multi-Objective Optimization
Theodorakopoulos, D., Wever, M. & Lindauer, M., 2026, (E-pub ahead of print).Research output: Working paper/Preprint › Preprint
Open Access -
Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization.
Fehring, L., Wever, M., Spliethöver, M., Hennig, L., Wachsmuth, H. & Lindauer, M., 2026, (E-pub ahead of print) Proceedings of the AutoML Conference .Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
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Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
Che, M., Tseng, T.-Y., Eimer-Rüegg, T., Lindauer, M. & von Rohr, A., 13 May 2026, (Accepted/In press).Research output: Contribution to conference › Paper › Research › peer review
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PhoenixD: Cluster of Excellence 2122/2: Photonics, Optics, and Engineering – Innovation Across Dimensions
Morgner, U. (Principal Investigator), Overmeyer, L. (Principal Investigator), Stiller, B. (Principal Investigator), Bande, A. (Principal Investigator), Calà Lesina, A. (Principal Investigator), Demircan, A. (Principal Investigator), Denkena, B. (Principal Investigator), Heisterkamp, A. (Principal Investigator), Heurs, M. (Principal Investigator), Kaierle, S. (Principal Investigator), Kowalsky, W. (Principal Investigator), Kracht, D. (Principal Investigator), Kues, M. (Principal Investigator), Lachmayer, R. J. (Principal Investigator), Lindauer, M. T. (Principal Investigator), Magnor, M. (Principal Investigator), Mehlstäubler, T. (Principal Investigator), Menzel, H. (Principal Investigator), Raatz, A. (Principal Investigator), Rosenhahn, B. (Principal Investigator), Roth, B. W. (Principal Investigator), Waag, A. (Principal Investigator), Walla, P. J. (Principal Investigator), Wurz, M. C. (Principal Investigator) & Zhuang, X. (Principal Investigator)
1 Jan 2026 → 31 Dec 2032
Project: Research
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De-TECH: Deep Tech European Venture Builder
Heiden, S. (Principal Investigator) & Lindauer, M. T. (Principal Investigator)
1 Apr 2025 → 30 Apr 2027
Project: Research
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RoGeRL: Robust and General Reinforcement Learning via AutoML
Lindauer, M. T. (Principal Investigator)
1 Feb 2025 → 31 Jan 2028
Project: Research
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Bridging Black-Box Optimization and Machine Learning for Dynamic Algorithm Configuration
Lindauer, M. T. (Principal Investigator)
1 Jan 2024 → 31 Dec 2026
Project: Research
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NextGenPV: Photovoltaics of the next generation ‐ Lower Saxony competence network
Peibst, R. (Principal Investigator), Polarz, S. (Co-Principal Investigator), Schöber, V. (Coordination), Wietler, T. F. (Co-Principal Investigator) & Lindauer, M. T. (Principal Investigator)
1 Dec 2023 → 30 Nov 2027
Project: Research