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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...

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...

Current research interests AI technologies, and ML in general, often have problematic behaviors when deployed in real-world environments. In other words, they learn a faulty relationship among data. One possible cause is the quality of the data themselves with respect to the task we aim to solve...

Machine learning is mainly standing on the pillars of probability theory and statistics. It was Kolmogorov's celebrated book ``Grundbegriffe der Wahrscheinlichkeitsrechnung'' (translated as ''Foundations of the Theory of Probability'') which in 1933 laid the foundation for modern probability theory...