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Convergence Properties of Kronecker Graphical Lasso Algorithms

3 April 2012

Theodoros Tsiligkaridis

Alfred Hero

Shuheng Zhou

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Papers citing "Convergence Properties of Kronecker Graphical Lasso Algorithms"

26 / 26 papers shown

Title
Learning Kronecker-Structured Graphs from Smooth Signals Changhao Shi Zhengchao Wan 60 0 0 14 May 2025
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data Jitendra Tugnait CML 48 2 0 29 Apr 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data Meixia Lin Yangjing Zhang 28 0 0 05 Mar 2024
Learning Cartesian Product Graphs with Laplacian Constraints Changhao Shi Zhengchao Wan 65 1 0 12 Feb 2024
Learning High-Dimensional Differential Graphs From Multi-Attribute Data Jitendra Tugnait 75 2 0 05 Dec 2023
Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm Li Ma Shenghao Qin Yin Xia CML 49 0 0 13 Oct 2023
Information Geometry and Asymptotics for Kronecker Covariances A. Mccormack P. Hoff 129 1 0 04 Aug 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 95 3 0 02 Jul 2023
Sharper rates of convergence for the tensor graphical Lasso estimator Shuheng Zhou Kristjan Greenewald 68 0 0 02 Apr 2023
On Separability of Covariance in Multiway Data Analysis Dogyoon Song Alfred Hero 56 0 0 05 Feb 2023
Multiway Ensemble Kalman Filter Yu Wang Alfred Hero 56 1 0 08 Dec 2021
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity Cole Franks Rafael Oliveira Akshay Ramachandran M. Walter 61 8 0 14 Oct 2021
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model Yu Wang Alfred Hero 57 4 0 26 May 2021
Autoregressive Identification of Kronecker Graphical Models Mattia Zorzi 63 16 0 29 Apr 2020
The Sylvester Graphical Lasso (SyGlasso) Yu Wang B. Jang Alfred Hero 54 16 0 01 Feb 2020
Learning Gaussian DAGs from Network Data Hangjian Li Oscar Hernan Madrid Padilla Qing Zhou CML 140 2 0 26 May 2019
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms Ishan Jindal M. Nokleby 46 2 0 07 May 2017
Tensor Graphical Model: Non-convex Optimization and Statistical Inference Xiang Lyu W. Sun Zhaoran Wang Han Liu Jian Yang Guang Cheng CML 55 0 0 15 Sep 2016
Robust SAR STAP via Kronecker Decomposition Kristjan Greenewald E. Zelnio Alfred Hero 78 25 0 05 May 2016
Graph Estimation for Matrix-variate Gaussian Data Xinyu Chen Weidong Liu 36 14 0 17 Sep 2015
Foundational principles for large scale inference: Illustrations through correlation mining Alfred Hero B. Rajaratnam 70 17 0 11 May 2015
High dimensional errors-in-variables models with dependent measurements M. Rudelson Shuheng Zhou 60 7 0 09 Feb 2015
Detection of Anomalous Crowd Behavior Using Spatio-Temporal Multiresolution Model and Kronecker Sum Decompositions Kristjan Greenewald Alfred Hero 87 8 0 14 Jan 2014
Kronecker Sum Decompositions of Space-Time Data Kristjan Greenewald Theodoros Tsiligkaridis Alfred Hero 103 25 0 27 Jul 2013
Covariance Estimation in High Dimensions via Kronecker Product Expansions Theodoros Tsiligkaridis Alfred Hero 182 111 0 12 Feb 2013
Gemini: Graph estimation with matrix variate normal instances Shuheng Zhou 150 106 0 23 Sep 2012