Dear all,

On Thursday April 25 we have Sebastien Bordt speaking in the Statistics and Machine Learning Thematic Seminar.

*Sebastien Bordt *(University of Tübingen, https://sbordt.github.io/)

*Thursday April 25*, 14h00-15h00 In person, at the University of Amsterdam Location: Korteweg-de Vries Institute for Mathematics, Science Park 907, Room TBA Directions: https://kdvi.uva.nl/contact/contact.html

*Representation and Interpretation

*Researchers have proposed different conditions under which a function is deemed "interpretable". This includes classes of functions that are considered a priori interpretable (small decision trees, GAMs), and post-hoc introspection methods that allow to "interpret" arbitrary learned functions. In this talk, we discuss a perspective on interpretability that highlights the connections between the representation and interpretation of a function. As a concrete example, we derive the connections between the Shapley Values of a function and its representation as a Generalized Additive Model. We then ask whether similar connections hold for other classes of functions, and conclude with a discussion of different approaches in interpretable machine learning.

Seminar organizers: Tim van Erven

https://mschauer.github.io/StructuresSeminar/