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The notion of a "style of reasoning" was developed by Ian Hacking, who explored in particular the statistical style of reasoning in XXX. In this project we build upon that work to analyse the style of reasoning of machine learning. We argue that (ironically) although ML makes great use of data, it...

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 processes information, but what do we mean by 'information"? One view comes from Information Theory, which was originally developed motivated by problems of communication. But learning problems are different, aren't they? This project explores the notion of information that makes...