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Fakultät für Informatik

Our Mission

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.

A visual representation of research topics. Built on a foundation of existing machine learning models, multiple pillars carry the roof that consists of "AutoML systems" and "AutoML in practice". © Matthias Feurer

Research Focus

  • Efficient prompt optimization for large language models
  • Benchmark protocols for fast and reliable large-scale experiments
  • Bayesian optimization for hyperparameter optimization