Learning Gaussian Graphical Models with Latent Confounders

Ke Wang, Alexander Franks, Sang-Yun Oh

Gaussian Graphical models (GGM) are widely used to estimate the network structures in many applications ranging from biology to finance. In practice, data is often corrupted by lat…