Scholar
Matthias Feurer
Google Scholar ID: B_4_Uv4AAAAJ
TU Dortmund University, Lamarr Institute
Citations & Impact
Citations
8,306
H-index
17
i10-index
19
Publications
20
Co-authors
64
list available
Publications
Resume (English only)
Academic Achievements
- Lead developer of open-source AutoML tools: auto-sklearn, OpenML-Python, SMAC3, and HPOBench.
- 1st place in the warmstarting-friendly leaderboard of the NeurIPS BBO Challenge.
- Invited talk on Auto-sklearn 2.0 at the AutoML workshop (Slideslive).
- Introductory talk on Auto-sklearn with Katharina at EuroPython 2021 (YouTube).
- Authored blog posts on meta-learning for Auto-sklearn.
Background
- Currently a Thomas Bayes Fellow and interim professor at the Chair of Statistical Learning and Data Science, Ludwig-Maximilians-Universität München (LMU), funded by the Munich Center for Machine Learning (MCML).
- Aims to simplify machine learning usage for domain scientists and improve efficiency for expert users.
- Focuses on Automated Machine Learning (AutoML), including hyperparameter optimization, meta-learning, and model selection.
- Advocates for multi-objective AutoML that considers interpretability, deployability, and fairness beyond predictive performance.
- Actively contributes to multiple open-source AutoML projects and co-founded the Open Machine Learning Foundation supporting OpenML.org.
