2020
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
IJCAI 2020poster
We consider the problem of estimating a sparse Gaussian Graphical Model with a special graph topological structure and more than a million variables. Most previous scalable estimators still contain expensive calculation steps (e.g., matrix inversion or Hessian matrix calculation) and become infeasib…