Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL

Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray

Since its inception, the modus operandi of multi-task learning (MTL) has been to minimize the task-wise mean of the empirical risks. We introduce a generalized loss-compositional p…