Learning Additive Exponential Family Graphical Models via l-norm Regularized M-Estimation Xiao-Tong Yuan † Ping Li ‡ § Tong Zhang ‡

Neural Information Processing Systems 

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