Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity

3 December 2021

Papers citing "Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity"

6 / 6 papers shown

Title
Learning Large-Scale MTP $_2$ Gaussian Graphical Models via Bridge-Block Decomposition Xiwen Wang Jiaxi Ying Daniel P. Palomar 20 2 0 23 Sep 2023
Network Topology Inference with Sparsity and Laplacian Constraints Jiaxi Ying Xi Han Rui Zhou Xiwen Wang H. C. So 31 2 0 02 Sep 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
Adaptive Estimation of Graphical Models under Total Positivity Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 26 4 0 27 Oct 2022
Learning Graphical Factor Models with Riemannian Optimization Alexandre Hippert-Ferrer Florent Bouchard A. Mian Titouan Vayer A. Breloy 20 8 0 21 Oct 2022
Structured Graph Learning Via Laplacian Spectral Constraints Sandeep Kumar Jiaxi Ying J. Cardoso Daniel P. Palomar 45 57 0 24 Sep 2019