About Us
Our research interests center around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning. We are currently conducting research on supervised learning and extensions thereof, such as weakly supervised learning, ranking and preference learning, uncertainty in machine learning, Bandit algorithms, online learning, and learning on data streams, automated machine learning (AutoML), as well as applications, social and societal implications of artificial intelligence and machine learning
Latest News
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8 NeurIPS 2026 papers accepted, including oral position paperOur group has had a record 8 papers (6 first name) accepted in NeurIPS 2026, including an oral position paper - one of only 9 at the conference!
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2026 Summer School on Imprecise Probabilities in MunichThe Summer School on Imprecise Probabilities, took place in Munich from 27 to 31 July 2026. was organized by our Chair (AIML) at the Institute of Informatics together with AG Augustin at the Department of Statistics.
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All 6 paper submissions to UAI acceptedAll 6 of our submissions have been accepted to the Conference on Uncertainty in Artificial Intelligence this year, achieving a 100% acceptance rate.
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Timo Kaufmann at Google DeepMind as a Student ResearcherOur PhD student Timo Kaufmann is off to Google DeepMind in London for six months as a Student Researcher.
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Accepted papers in ICML, EIML@ICML, IJCAI and ECMLOur group has had five papers recently accepted at major international Machine Learning conferences.
