Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent

Pan Xu, Tingting Zhang, Quanquan Gu

Abstract: We study the sparse tensor-variate Gaussian graphical model (STGGM), where each way of the tensor follows a multivariate normal distribution whose precision matrix has sparse structures. In order t...