Weakly-supervised Multi-output Regression via Correlated Gaussian Processes

19 Feb 2020 Seokhyun Chung Raed Al Kontar Zhenke Wu

Multi-output regression seeks to infer multiple latent functions using data from multiple groups/sources while accounting for potential between-group similarities. In this paper, we consider multi-output regression under a weakly-supervised setting where a subset of data points from multiple groups are unlabeled... (read more)

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