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Please note: This PhD seminar will take place in DC 2310 and online.

Jesse Elliott, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors David Jao, Éric Schost

Friday, January 12, 2024 12:00 pm - 1:00 pm EST (GMT -05:00)

PhD Seminar • Artificial Intelligence • Learning Voting Rules Using Neural Networks

Please note: This PhD seminar will take place online.

Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Kate Larson

We present our work using machine learning models to approximate social choice functions, a.k.a. methods of voting. Voting rules are functions that are given voter preferences and produce a winning candidate.

Please note: This PhD seminar will take place in DC 1304.

Xueguang Ma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Neural retrieval systems have proven effective across a range of tasks and languages. However, creating fully zero-shot neural retrieval pipeline remains a challenge when relevance labels are not available.

Please note: This PhD seminar will take place in DC 3317 and online.

Robert Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau