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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...

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...

We are based in Tübingen, near the Schönbuch forest (all the photographs on the site are of the environs of Tübingen).