My picture



My paper Robustness Should not be at Odds with Accuracy with Sadia Chowdhury was accepted to FORC 2022.

My paper Learning Losses for Strategic Classification with Tosca Lechner was presented as an oral at AAAI 2022.

Our Summer Cluster on Interpretable Machine Learning at the Simons Institute for the Theory of Computing at UC Berkeley will take place June 27-August 5, 2022 in Berkeley! We held a zoom version during the first pandemic summer in 2020.

Ruth Urner

Assistant Professor
Department of Electrical Engineering and Computer Science
Lassonde School of Engineering
York University
Toronto Canada

Email: ruth "at" eecs "dot" yorku "dot" ca
Office: LAS 3016
Phone: 416-736-2100 x70128

Short bio.


My research develops mathematical tools and frameworks for analyzing the possibilities and limitations of automated learning, with a focus on semi-supervised, active and transfer learning. Currently I am particularly interested developing formal foundations for topics relating to societal impacts of machine learning, such as human interpretability and algorithmic fairness.


International teaching activities/teaching at summer schools

Teaching at York

I am making some of my teaching material and general course information available here. If you are a student currently enrolled in a specific version of one of these courses, there is an eclass site, which you have access to. Please consult the eclass site as it contains the updated course information and material that is relevant to the current offering.


Keynote talks

Other invited talks/tutorials/panel discussions

Event (co-)organization

Top level program committee member/area chair


Refereed conference and journal publications

Workshop Contributions