Yanjun Qi | Tutorial | Joint Learning of Multiple Related Gaussian Graphical Models from Heterogeneous Samples.

Related papers:
The joint graphical lasso for inverse covariance estimation across multiple classes. Danaher P1, Wang P2, Witten DM1. J R Stat Soc Series B Stat Methodol. 2014 Mar;76(2):373-397.

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
B Wang, A Sekhon, Y Qi, Proceedings of the 35th International Conference on Machine Learning, 5148-5157

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
B Wang, A Sekhon, Y Qi
Proceedings of the 21st International Conference on Artificial Intelligence …

Date

Jul 30 2019

Time

1:30 pm - 2:15 pm

Location

Mong Auditorium Engineering VI
Mong Auditorium Engineering VI, UCLA Main Campus