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L0 Sparse Inverse Covariance Estimation
v1v2v3v4v5 (latest)

L0 Sparse Inverse Covariance Estimation

IEEE Transactions on Signal Processing (IEEE TSP), 2014
5 August 2014
G. Marjanovic
Alfred Hero
ArXiv (abs)PDFHTML

Papers citing "L0 Sparse Inverse Covariance Estimation"

11 / 11 papers shown
$\ell_0$ factor analysis
ℓ0\ell_0ℓ0​ factor analysis
Linyang Wang
Wanquan Liu
Bin Zhu
397
0
0
13 Nov 2024
Sparse sketches with small inversion bias
Sparse sketches with small inversion biasAnnual Conference Computational Learning Theory (COLT), 2020
Michal Derezinski
Zhenyu Liao
Guang Cheng
Michael W. Mahoney
515
25
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 LikelihoodJournal of Statistical Software (JSS), 2019
Ziwen An
Leah F. South
Christopher C. Drovandi
252
15
0
25 Jul 2019
Certifiably Optimal Sparse Inverse Covariance Estimation
Certifiably Optimal Sparse Inverse Covariance EstimationMathematical programming (Math. Program.), 2019
Dimitris Bertsimas
Jourdain Lamperski
J. Pauphilet
239
14
0
25 Jun 2019
Learning Directed Graphical Models from Gaussian Data
Learning Directed Graphical Models from Gaussian Data
Katherine E. Fitch
325
13
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
348
175
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
427
80
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
237
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
147
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 seriesIEEE Transactions on Signal Processing (IEEE TSP), 2015
Xiaohui Chen
Mengyu Xu
Wei Biao Wu
418
27
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
612
255
0
24 Sep 2013
1
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