Prof. Dr. Ulrike von Luxburg

I am a professor for computer science, with research focus in machine learning theory and computational statistics. I am also a fellow at the Max Planck Institute for Intelligent Systems. For family reasons, I currently work part-time.

Research. My current focus is on theoretical questions about unsupervised machine learning, in particular the statistical analysis of algorithms on random graphs and ordinal data analysis.   Publications     Our research seminar

We are looking for a postdoc, starting fall 2019, on any topic that is related to our work in learning theory. To apply, please follow the instructions posted here.

Teaching. For all questions concerning teaching please visit our teaching page (also includes consultation hour times, topics for Bachelor / Master theses, comments about taking exams).

In the context of the Cyber Valley Discussion in Tübingen, we are running a big university seminar in the summer term: KI, Wissenschaft, Gesellschaft und Verantwortung: Ein interaktives Seminar zur Meinungsbildung. It is going to involve professors from computer science, political science, the school of law, economics, philosophy and ethics.

Things I currently do:

• I am coordinating the research cluster "Machine learning: New Perspectives for Science", jointly with Philipp Berens.
• I am in the executive board of NeuRIPS
• I am member of the steering committee of the Association for Computational Learning (runs the COLT conference)

Things I did in the past.

Code and data sets (in particular, our peer grading data) ... here.

Job applications (interns, PhD students, Postdocs) see here.

Some of my funding comes from:

• Research cluster "Machine learning: New Perspectives for Science"
• Max Planck Research School for Intelligent Systems
• Max Planck Fellowship at the MPI for Intelligent Systems
• Tübingen Competence Center for Machine Learning
• DFG Research Unit Structural Inference in Statistics: Adaptation and Efficiency
• DFG Collaborative Research Centre Multi-Site Communication in the Brain
• DFG Collaborative Research Centre Robust Vision