Rishikesh Gajjala

Learning Sparse Fixed-Structure Gaussian Bayesian Networks

Gaussian Bayesian networks are widely used to model causal interactions among continuous variables. In this work, we study the problem of learning a fixed-structure Gaussian Bayesian network up to a bounded error in total variation distance. We analyze the commonly used node-wise least squares regre…