Dear all,
Tomorrow, 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
107, Room 320
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/
--
Tim van Erven <tim@timvanerven.nl>
www.timvanerven.nl