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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200203T103000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-co
 sts-and-benefits-invariant-representation
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Costs and Benefits of Invariant Representation Learning
CLASS:PUBLIC
DESCRIPTION:HAN ZHAO\, MACHINE LEARNING DEPARTMENT\n_Carnegie Mellon Univer
 sity_\n\nThe success of supervised machine learning in recent years crucia
 lly\nhinges on the availability of large-scale and unbiased data\, which i
 s\noften time-consuming and expensive to collect. Recent advances in deep\
 nlearning focus on learning invariant representations that have found\nabu
 ndant applications in both domain adaptation and algorithmic\nfairness. Ho
 wever\, it is not clear what price we have to pay in terms\nof task utilit
 y for such universal representations. In this talk\, I\nwill discuss my re
 cent work on understanding and learning invariant\nrepresentations. 
DTSTAMP:20260313T133539Z
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