Nachdiplom lecture

The course will be devoted to the solution of a classical question in Statistical Learning Theory: identifying the optimal sample complexity (with respect to the squared loss) under minimal assumptions. The main ngredients are elements of the small-ball method and the notion of median-of-means tournaments - with one additional application: an optimal mean estimation procedure for random vectors.