Tim van Erven

New paper with @Hidde_Fokkema and Damien Garreau about the population-level effects of algorithmic recourse in explainable machine learning: arxiv.org/abs/2306.00497 Long story short: providing recourse can cause significant harm to the users it is supposed to help. 1/n

Upcoming talk in the Theory of Interpretable AI seminar: Federico Adolfi frames interpretability in terms of computational complexity theory! @shahaf_bassan @ML_Theorist

🚨 Workshop on the Theory of Explainable Machine Learning

Call for ≤2 page extended abstract submissions by October 15 now open!

Ellis UnConference in Copenhagen
📅 Dec. 2
🔗 More info: sites.google.com/view/theory-of…

@UlrikeLuxburg @emmanuelespo

Hooray, I received a Vici grant from the Dutch science foundation!

Heads up for current PhD students in learning theory: I will have two postdoc positions available in Amsterdam on "learning theory for interpretable/explainable AI" in the coming years.

uva.nl/shared-content…

In case you missed it: here is the recording of @YishayMansour's talk about the ability of decision trees to approximate concepts: youtu.be/uOwuho2er58

For upcoming talks, check out the seminar website: tverven.github.io/tiai-seminar/