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DTSTART:20230312T070000
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DTSTART:20231105T060000
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DTSTART;TZID=America/Toronto:20240112T120000
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URL:https://uwaterloo.ca/computer-science/events/phd-seminar-artificial-int
 elligence-learning-voting-rules-using-neural-networks
LOCATION:200 University Avenue West Online PhD seminar Waterloo ON N2L 3G1 
 Canada
SUMMARY:PhD Seminar • Artificial Intelligence • Learning Voting Rules\n
 Using Neural Networks
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS PHD SEMINAR WILL TAKE PLACE ONLINE.\n\nBEN AR
 MSTRONG\, PHD CANDIDATE\n_David R. Cheriton School of Computer Science_\n\
 nSUPERVISOR: Professor Kate Larson\n\nWe present our work using machine le
 arning models to approximate\nsocial choice functions\, a.k.a. methods of 
 voting. Voting rules are\nfunctions that are given voter preferences and p
 roduce a winning\ncandidate.
DTSTAMP:20260415T131355Z
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