Research output per year
Research output per year
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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 -
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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Towards Exploiting Early Termination for Multi-Fidelity Hyperparameter Optimization
Graf, H., Fehring, L., Tornede, T., Tornede, A., Wever, M. D. & Lindauer, M., Sept 2025, (E-pub ahead of print) Workshop Track of the AutoML Conference .Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
Open Access -
PyExperimenter: Easily distribute experiments and track results
Tornede, T., Tornede, A., Fehring, L., Gehring, L., Graf, H., Hanselle, J., Mohr, F. & Wever, M., 20 Apr 2023, In: Journal of Open Source Software. 8, 84, 3 p.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Symbolic Explanations for Hyperparameter Optimization
Segel, S., Graf, H., Tornede, A., Bischl, B. & Lindauer, M., 16 May 2023, (E-pub ahead of print) AutoML Conference 2023. PMLRResearch output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Open Access
Projects
- 1 Active
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ixAutoML: Interactive and Explainable Human-Centered AutoML
Lindauer, M. T. (Principal Investigator), Segel, S. (Project staff), Graf, H. (Project staff) & Deng, D. (Project staff)
1 Dec 2022 → 30 Nov 2027
Project: Research