Bayesian Approaches to Distribution Regression

11 May 2017Ho Chung Leon LawDougal J. SutherlandDino SejdinovicSeth Flaxman

Distribution regression has recently attracted much interest as a generic solution to the problem of supervised learning where labels are available at the group level, rather than at the individual level. Current approaches, however, do not propagate the uncertainty in observations due to sampling variability in the groups... (read more)

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