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Convergence Properties of Kronecker Graphical Lasso Algorithms
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Convergence Properties of Kronecker Graphical Lasso Algorithms

Theodoros Tsiligkaridis
Alfred Hero
Shuheng Zhou
ArXiv (abs)PDFHTML

Papers citing "Convergence Properties of Kronecker Graphical Lasso Algorithms"

26 / 26 papers shown
Title
Learning Kronecker-Structured Graphs from Smooth Signals
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
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
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
Meixia Lin
Yangjing Zhang
26
0
0
05 Mar 2024
Learning Cartesian Product Graphs with Laplacian Constraints
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
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
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
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
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
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
On Separability of Covariance in Multiway Data Analysis
Dogyoon Song
Alfred Hero
56
0
0
05 Feb 2023
Multiway Ensemble Kalman Filter
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
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
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
Autoregressive Identification of Kronecker Graphical Models
Mattia Zorzi
63
16
0
29 Apr 2020
The Sylvester Graphical Lasso (SyGlasso)
The Sylvester Graphical Lasso (SyGlasso)
Yu Wang
B. Jang
Alfred Hero
54
16
0
01 Feb 2020
Learning Gaussian DAGs from Network Data
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
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
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
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
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
Foundational principles for large scale inference: Illustrations through correlation mining
Alfred Hero
B. Rajaratnam
68
17
0
11 May 2015
High dimensional errors-in-variables models with dependent measurements
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
Detection of Anomalous Crowd Behavior Using Spatio-Temporal Multiresolution Model and Kronecker Sum Decompositions
Kristjan Greenewald
Alfred Hero
85
8
0
14 Jan 2014
Kronecker Sum Decompositions of Space-Time Data
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
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
Gemini: Graph estimation with matrix variate normal instances
Shuheng Zhou
150
106
0
23 Sep 2012

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