MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization

Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep K. Ravikumar, Shou-De Lin

Neural Information Processing Systems 

We consider a generalization of mixed regression where the response is an additive combination of several mixture components.