Prof. Dr. Ulrike von Luxburg
University of Tübingen
Department of Computer Science
Maria von Linden Str. 6
72076 Tübingen
Germany
Room: 30-5/A24
Phone: +49 (0)7071 29-70832
E-mail: ulrike.luxburg(at)uni-tuebingen.de
I am a professor for computer science, with research focus on the theory of machine learning.
Quick links:
- Publications
- My free online courses on youtube: Statistical Machine Learning, Mathematics for Machine Learning, Theoretische Informatik (in German)
News:
- We are starting a new Center for AI and Law, and have openings for two indepedent research group leaders! Deadline is Oct 15.
- Aug 2023: I just learned that I received the Bernoulli Prize for an Outstanding Survey Article in Statistics 2022!
- Feb 2023: Our exhibition
about AI in Tübingen in the City
Museum has started! Created jointly by 36 master students of
anthropology and machine learning, Thomas Thiemeyer and
Tim Schaffarczik (anthropology), Guido Szymanska and
Wiebke Ratzeburg (museum) and myself, over the course of more than a
year. It runs from Feb to Oct 2023.
Webpage by students.
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 recently we also founded a new CZS Institute for AI and Law (together with Michele Finck and Stefan Thomas).
Teaching: My lectures are on youtube, as well as the ones of several other colleagues. See here for links to lectures, topics for Bachelor / Master theses, comments about taking exams, etc.
Public AI discussion.
In the city of Tübingen, and also in the wider context of
Germany, there is an ongoing discussion about research in artificial
intelligence and its impact on future society. I find this discussion
important and actively participate(d) in quite a number of past
events. Also consider watching my lectures on ML
and society, or the german lecture
Wie funktioniert maschinelles lernen, or reading the corresponding text
Wie funktioniert maschinelles lernen (pdf).. Or watch my
Kinderuni lecture on youtube: ``Warum ist künstlich Intelligenz nicht immer gerecht?'' (Why is AI not always fair?)
Short CV, awards, community service: see here
Funding and transparency: see here.
Code and data sets : see here.
Job applications (interns, PhD students, Postdocs): see here.