we introduce a novel representation learning model based on linear regression. This model seamlessly integrates three essential modules: flexible regression learning, graph embedding learning, and ...

In this paper, we tackle the problem of model selection in a general linear regression where the parameter matrix possesses a block-sparse structure, i.e., the non-zero entries occur in clusters or ...