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DTSTART;TZID=America/Toronto:20090501T113000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-ac
 tive-learning-regression-over-finite-domains
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Active learning in regression over finite domains
CLASS:PUBLIC
DESCRIPTION:Speaker: Casba Szepesvari\, University of Alberta\n\nIt is know
 n that the nonparametric minimax rate for regression in the\nactive and pa
 ssive settings are the same for various smoothness\nclasses. In this talk\
 , I will look into the simpler problem when the\nregression domain is fini
 te\, but the response variance is location\ndependent\, i.e.\, the noise i
 s heteroscedastic.
DTSTAMP:20260315T184741Z
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