Talks and Presentations
2026
- 2026 · Invited Talk, Closing Conference of SAIL, Bielefeld, France: “AutoML for Tabular Data”
- 2026 · Invited Talk, Meta Adaptive Experimentation Workshop, New York, USA: “Extending and using PFNs for Tabular ML”
before 2026
- 2024 · Invited Talk, AutoML x WiMLDS Paris, Paris, France: “A Short Story on AutoML” slides
- 2024 · Invited Talk, ML in Science Conference, Tübingen, Germany: “Automated Machine Learning for Science”
- 2024 · Invited Talk, Meta Adaptive Experimentation Workshop, New York, USA: “Modular AutoML Systems”
- 2024 · Invited Talk, WiDS, Regensburg, Germany: “AutoML: Streamlining Machine Learning” slides
- 2024 · Invited Talk, Bosch IoC Lab & Uni Tübingen - Invited Talk Series, online: “AutoML to Streamline Machine Learning”
- 2024 · Invited Talk, Group Talk Kognitive Systeme, Uni Tübingen, Germany: “ AutoML: Accelerating Research on and Development of ML Systems”
- 2023 · Invited Talk, MLOPS’23, online: “Hyperparameter Optimieren mit AutoML” · [slides]
- 2023 · Lecture, Lecture Series at the European Summer School on AI (ESSAI), Ljubljana, Slovenia: “AutoML: Accelerating Research on and Development of AI Applications“ · [material]
- 2023 · Invited Talk, ELLIS Workshop, Tübingen, Germany: “Exploring the Landscape: (Auto)ML for Tabular Data”
- 2023 · Hands-On Session, nextgen_AI Freiburg, Freiburg, Germany: “Automated Machine Learning with Auto-sklearn” · [material]
- 2022 · Hands-On Session, 2nd Fall School on AutoML, online: ”Auto-Sklearn 2.0” · [slides]
- 2021 · Contributed Talk, EuroPython, online: ”Auto-Sklearn: Automated Machine Learning in Python - from scikit-learn to auto-sklearn” · [slides] [recording]
- 2021 · Hands-On Session, 1st Fall School on AutoML, Freiburg, Germany: ”Auto-Sklearn” · [slides]
- 2016 · Invited Talk, NeurIPS workshop on Bayesian Optimization, Long Beach, USA: ”Benchmarking beyond Branin”