In multi-target regression, models are designed to predict a vector of continuous responses rather than a single outcome, thereby capturing the often intricate interdependencies among targets.

From a machine learning perspective, the main goal is to develop tailored models for globally distributed multi-target data. Specifically, this thesis addresses three methodological challenges arising ...