Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses

Alex Lambert, Dimitri Bouche, Zoltan Szabo +1

The focus of the paper is functional output regression (FOR) with convoluted losses. While most existing work consider the square loss setting, we leverage extensions of the Huber…