Prof. Dr. Ulrike von Luxburg

I am a professor for computer science, with research focus on the theory of machine learning.

Quick links / news:  

• Publications
• I am looking for teaching assistants for the BSc algorithms lecture (officially called Theoretische Informatik I: Algorithmen) in coming winter term 2025/26. If you are interested, please apply soon (we start screening in june).
• I will be hiring a PhD student and/or a Postdoc to start in fall 2025, to either work on theoretical foundations of explainable machine learning or on deep learning theory. If you are interested, please apply starting in spring 2025 (please check out our "application" page for instructions).
• My free online lectures on youtube: Statistical Machine Learning (2020), Mathematics for Machine Learning (2020), Theoretische Informatik (2021, in German)    

Research. My research focus is on theoretical questions about unsupervised 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    

I am coordinating the research cluster Machine learning: New Perspectives for Science (jointly with Philipp Berens), and the CZS Institute for AI and Law (together with Michele Finck and Stefan Thomas).

Teaching See our teaching page for links to lectures, topics for Bachelor / Master theses, comments about taking exams, writing a thesis, etc.

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, butthe 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.