Statistical learning with extremes,
Master MVA, université Paris-Saclay
Joint course with Stephan Clemencon, Antoine Doize.
Location/Schedule in 2025: at Telecom Paris (Palaiseau), on Thursdays, 9:30--12:30, rooms: following this schedule
Registration (mandatory) for 2025
Course material
Homework
Recommended reading
The second part of this course focuses on statistical learning theory for extreme value analysis. A convenient reference is the survey paper co-written by Stephan Clemencon and myself (working paper)It is highly recommended to familiarize yourself first with basic statistical learning theory. To do this, take Nicolas Vayatis' course.
As for general references, good starting points are the book Foundations of Machine Learning (Mohri et al.), Chapters 2,3; or G. Lugosi's lecture notes on the topic of binary classification. The first four sections are particularly relevant to our context. N.B. These lecture notes are part of the book `Principles of Nonparametric Learning' .