08.10.2025
Three MCML Members Win Best Paper Award at AutoML 2025
Our Members Matthias Feurer, Lennart Schneider and Bernd Bischl Honored for Their Work on Hyperparameter Optimization
We are happy to announce that the paper “Overtuning in Hyperparameter Optimization” by MCML Thomas Bayes Fellow Matthias Feurer, MCML Junior Member Lennart Schneider, and MCML Director Bernd Bischl has won the Best Paper Award at the 4th AutoML Conference.
The paper defines and studies overtuning, where hyperparameter optimization can improve validation scores but hurt generalization, and presents a large-scale analysis of factors influencing this effect. These insights will help the AutoML community design more robust and reliable optimization strategies
Congratulations to the team on this outstanding achievement!
Check out the full paper:
Overtuning in Hyperparameter Optimization.
AutoML 2025 - Methods Track - Methods Track at the International Conference on Automated Machine Learning. New York City, NY, USA, Sep 08-11, 2025. Best Paper Award. To be published. URL
Related
20.11.2025
Zigzag Your Way to Faster, Smarter AI Image Generation
ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.
13.11.2025
Björn Ommer Featured in Frankfurter Rundschau
Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.
13.11.2025
Fabian Theis Among the World’s Most Cited Researchers
Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.
