Sparsity in online multitask/multiview learning

Multitask and multiview learning is an interesting case for the study of interacting learning systems. In this talk we describe results in the multitask/multiview domain where co-regularization is achieved by imposing sparsity constraints of geometrical and spectral nature in an online learning framework. Joint work with Giovanni Cavallanti and Claudio Gentile.