k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms

Cong Han Lim, Stephen Wright

Neural Information Processing Systems 

We study the norms obtained from extending the k-support norm and OWL norms to the setting in which there are overlapping groups. The resulting norms are in general NP-hard to compute, but they are tractable for certain collections of groups. To demonstrate this fact, we develop a dynamic program for the problem of projecting onto the set of vectors supported by a fixed number of groups.