I am professor of foundations of machine learning systems at the University of Tübingen. I am a principal investigator in the Tübingen AI center and a member of the Cluster of Excellence Machine Learning in the Sciences. Current Research My current research is focused on a small number of basic...
Hello, I'm Rabanus. Since October 2021 I am pursuing my PhD under supervision of Bob Williamson in the group "Foundations of Machine Learning Systems". I am working on the implication of probability theoretical assumptions in machine learning and the quality of forecasts. As part of this endeavour I...
Since my undergraduate studies in cognitive science, I have been interested in interdisciplinary research approaches. I started my PhD with Bob in November, 2021. I'm interested in a generalization of classical probability theory known as imprecise probability where one works with sets of...
I am currently focusing on learning theory in a broader sense. I am particularly interested in how different machine learning problems are interconnected and characterized. Lately, reasoning about supervised learning and data corruption led to a project about Markovian corruption and its associated...
Machine learning research is notoriously fast paced. Can one get off the treadmill and embrace a notion of slow science? I am pleased to be able to argue yes by example! Recently I have had two works published with a very long gestation. The first Geometry and Calculus of Losses reports work that...