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Gemini: Graph estimation with matrix variate normal instances

Gemini: Graph estimation with matrix variate normal instances

23 September 2012
Shuheng Zhou
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Papers citing "Gemini: Graph estimation with matrix variate normal instances"

11 / 11 papers shown
Title
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
29
3
0
02 Jul 2023
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count
  Data
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data
Sijia Li
Martín López-García
Neil D. Lawrence
Luisa Cutillo
26
5
0
15 Mar 2022
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
20
8
0
14 Oct 2021
A unified precision matrix estimation framework via sparse column-wise
  inverse operator under weak sparsity
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
Zeyu Wu
Cheng-Long Wang
Weidong Liu
20
3
0
07 Jul 2021
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang
Alfred Hero
25
4
0
26 May 2021
Variable Star Classification Using Multi-View Metric Learning
Variable Star Classification Using Multi-View Metric Learning
K. Johnston
S. Caballero-Nieves
V. Petit
A. Peter
Rana Haber
12
3
0
13 Nov 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
16
44
0
09 Nov 2019
Errors-in-variables models with dependent measurements
Errors-in-variables models with dependent measurements
M. Rudelson
Shuheng Zhou
23
16
0
15 Nov 2016
A penalized likelihood method for classification with matrix-valued
  predictors
A penalized likelihood method for classification with matrix-valued predictors
Aaron J. Molstad
Adam J. Rothman
8
15
0
23 Sep 2016
Estimation of Large Covariance and Precision Matrices from Temporally
  Dependent Observations
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations
Hai Shu
B. Nan
26
20
0
16 Dec 2014
Time Varying Undirected Graphs
Time Varying Undirected Graphs
Shuheng Zhou
John D. Lafferty
Larry A. Wasserman
114
240
0
20 Feb 2008
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