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L0 Sparse Inverse Covariance Estimation
v1v2v3v4v5 (latest)

L0 Sparse Inverse Covariance Estimation

5 August 2014
G. Marjanovic
Alfred Hero
ArXiv (abs)PDFHTML

Papers citing "L0 Sparse Inverse Covariance Estimation"

11 / 11 papers shown
Title
$\ell_0$ factor analysis
ℓ0\ell_0ℓ0​ factor analysis
Linyang Wang
Wanquan Liu
Bin Zhu
147
2
0
13 Nov 2024
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
107
22
0
21 Nov 2020
BSL: An R Package for Efficient Parameter Estimation for
  Simulation-Based Models via Bayesian Synthetic Likelihood
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood
Ziwen An
Leah F. South
Christopher C. Drovandi
34
12
0
25 Jul 2019
Certifiably Optimal Sparse Inverse Covariance Estimation
Certifiably Optimal Sparse Inverse Covariance Estimation
Dimitris Bertsimas
Jourdain Lamperski
J. Pauphilet
64
13
0
25 Jun 2019
Learning Directed Graphical Models from Gaussian Data
Learning Directed Graphical Models from Gaussian Data
Katherine E. Fitch
90
10
0
19 Jun 2019
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
77
153
0
16 Aug 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
103
64
0
17 May 2018
A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance
  Selection
A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection
Ganzhao Yuan
Haoxian Tan
Weishi Zheng
16
5
0
19 Nov 2017
Semiblind subgraph reconstruction in Gaussian graphical models
Semiblind subgraph reconstruction in Gaussian graphical models
T. Xie
Sijia Liu
Alfred Hero
18
1
0
15 Nov 2017
Regularized estimation of linear functionals of precision matrices for
  high-dimensional time series
Regularized estimation of linear functionals of precision matrices for high-dimensional time series
Xiaohui Chen
Mengyu Xu
Wei Biao Wu
89
25
0
11 Jun 2015
Asymptotic normality and optimalities in estimation of large Gaussian
  graphical models
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
190
247
0
24 Sep 2013
1