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Research Group Automated Machine Learning and Optimization
The research group "Automated Machine Learning and Optimization" aims to make machine learning more reliable, effective, and accessible to domain scientists, practitioners, and experts through automation, while developing the benchmarks, infrastructure, and empirical foundations needed to evaluate automated systems rigorously.
News
OpenML journal paper selected as "Best of 2025" by the Patterns journal

New Professorship at TU Dortmund University

AutoML25 best paper award.

