Yangjing Zhang

DNNLasso: Scalable Graph Learning for Matrix-Variate Data

We consider the problem of jointly learning row-wise and column-wise dependencies of matrix-variate observations, which are modelled separately by two precision matrices. Due to the complicated structure of Kronecker-product precision matrices in the commonly used matrix-variate Gaussian graphical m…