Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation

Xiaotong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu

Neural Information Processing Systems 

We investigate a subclass of exponential family graphical models of which the sufficient statistics are defined by arbitrary additive forms.