Prof. Dr. Ulrike von Luxburg

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:

• I am looking for a new PhD student in the field of explainable machine learning, and would love to get applications by women. More details.
• 2023: We are starting a new Center for AI and Law
• 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 2023 to Jan 2024. 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 Some of 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.