AI seminar: Active learning in regression over finite domains
Speaker: Casba Szepesvari, University of Alberta
It is known that the nonparametric minimax rate for regression in the active and passive settings are the same for various smoothness classes. In this talk, I will look into the simpler problem when the regression domain is finite, but the response variance is location dependent, i.e., the noise is heteroscedastic.