Prof. Dr. Ulrike von Luxburg

I am a professor for computer science, with research focus on the theory of machine learning. I am coordinating the research cluster Machine learning: New Perspectives for Science and the CZS Institute for AI and Law.

Quick links / News:  

• Publications
• We are looking for teaching assistants for the lecture ``Mathematics of Machine Learning'' in the upcoming winter term 2026/27. The ideal candidate is a master student in CS / ML / maths who has taken this lecture before and has achieved very good grades. If you are interested, please apply as described here (we start screening in Feb).
  

Research. My research focus is on theoretical questions about machine learning: understanding implicit biases and assumptions of machine learning algorithms, giving formal guarantees to some algorithms, and proving how other algorithms systematically fail. In particular, we currently ask all these questions in the context of explainable machine learning.   Publications     Our research seminar     Research questions    

Teaching

• For our current lectures and seminars, see our teaching page
• If you are considering to write your Bachelor / Master thesis in our group, please also check out our teaching page for how to proceed.
• Here are links to some of my free online lectures on youtube: Statistical Machine Learning (2020), Mathematics for Machine Learning (2020), Theoretische Informatik (2021, in German)    

Public AI exhibition. Our exhibition "Cyber and the City: Künstliche Intelligenz bewegt Tübingen" in 2024 received the German Communicator Award, Germany's most prestigious award in science communication.

The exhibition was conceptualized and created over the course of two years by two colleagues in cultural anthropology (Thomas Thiemeyer, Tim Schaffarczik), myself, the local city museum (Guido Szymanska and Wiebke Ratzeburg), and 36 master students of cultural anthropology and machine learning. The exhibition itself has closed already, but the exhibition webpage by the students still exists.

Consider watching my Kinderuni lecture on youtube: ``Warum ist künstlich Intelligenz nicht immer gerecht?'' (Why is AI not always fair?)

Funding and transparency: see here.

Code and data sets : see here.

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