There are relatively few works dealing with conformal prediction for multi-task learning issues, and this is particularly true multi-target regression. This paper focuses on the problem of providing valid (i.e., frequency calibrated) multi-variate predictions. To do so, we propose to use copula functions inductive prediction, illustrate our proposal by applying it deep neural networks random fo...
