Multi-task sparse structure learning with gaussian copula models

Published in JMLR, 2016

Authors: AR Goncalves, FJ Von Zuben

This paper presents a novel family of models for MTL, applicable to regression and classification problems, capable of learning the structure of tasks relationship via Copula distributions.

Access full paper here