ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0901.3079
  4. Cited By
Covariance regularization by thresholding

Covariance regularization by thresholding

20 January 2009
Peter J. Bickel
Elizaveta Levina
ArXiv (abs)PDFHTML

Papers citing "Covariance regularization by thresholding"

50 / 300 papers shown
Empirical Bayesian Multi-Bandit Learning
Empirical Bayesian Multi-Bandit Learning
Xia Jiang
Rong J.B. Zhu
242
0
0
30 Oct 2025
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
Yonghan Zhang
Zhangni Pu
Lu Yan
Jiang Hu
CML
149
0
0
22 Jul 2025
Learning under Latent Group Sparsity via Diffusion on Networks
Learning under Latent Group Sparsity via Diffusion on Networks
Subhroshekhar Ghosh
Soumendu Sundar Mukherjee
195
0
0
20 Jul 2025
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
Karim Abou-Moustafa
164
0
0
30 May 2025
Generalized Principal Component Analysis for Large-dimensional Matrix
  Factor Model
Generalized Principal Component Analysis for Large-dimensional Matrix Factor Model
Yong He
Yujie Hou
Haixia Liu
Yalin Wang
377
1
0
10 Nov 2024
Sparse Covariance Neural Networks
Sparse Covariance Neural Networks
Andrea Cavallo
Zhan Gao
Elvin Isufi
279
7
0
02 Oct 2024
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
M. Khajehnejad
Forough Habibollahi
Ahmad Khajehnejad
Chris French
Brett J. Kagan
Adeel Razi
335
1
0
01 Oct 2024
Scalable and non-iterative graphical model estimation
Scalable and non-iterative graphical model estimation
Kshitij Khare
S. Rahman
B. Rajaratnam
Jiayuan Zhou
271
1
0
21 Aug 2024
DC Algorithm for Estimation of Sparse Gaussian Graphical Models
DC Algorithm for Estimation of Sparse Gaussian Graphical ModelsPLoS ONE (PLoS ONE), 2024
Tomokaze Shiratori
Yuichi Takano
232
0
0
08 Aug 2024
Optimal Estimation of Structured Covariance Operators
Optimal Estimation of Structured Covariance Operators
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
353
5
0
04 Aug 2024
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
Alessandro Casa
Davide Ferrari
Zhendong Huang
224
1
0
10 Jul 2024
On the modelling and prediction of high-dimensional functional time
  series
On the modelling and prediction of high-dimensional functional time series
Jinyuan Chang
Qin Fang
Xinghao Qiao
Qiwei Yao
AI4TS
292
14
0
02 Jun 2024
Covariance Operator Estimation via Adaptive Thresholding
Covariance Operator Estimation via Adaptive Thresholding
Omar Al Ghattas
D. Sanz-Alonso
302
4
0
28 May 2024
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional
  Data with Application to Microbiome Data Analysis
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li
Lingzhou Xue
Haoyi Yang
Xiufan Yu
294
5
0
04 May 2024
Dimension-free Structured Covariance Estimation
Dimension-free Structured Covariance Estimation
Nikita Puchkin
Maxim Rakhuba
365
1
0
15 Feb 2024
Regression graphs and sparsity-inducing reparametrizations
Regression graphs and sparsity-inducing reparametrizations
Jakub Rybák
Heather Battey
Karthik Bharath
94
0
0
14 Feb 2024
Efficient Computation of Sparse and Robust Maximum Association Estimators
Efficient Computation of Sparse and Robust Maximum Association EstimatorsComputational Statistics & Data Analysis (CSDA), 2023
Pia Pfeiffer
Andreas Alfons
P. Filzmoser
257
0
0
29 Nov 2023
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble
  Kalman Filters
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman FiltersBernoulli (Bernoulli), 2023
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
337
8
0
25 Oct 2023
Statistical inference of high-dimensional vector autoregressive time
  series with non-i.i.d. innovations
Statistical inference of high-dimensional vector autoregressive time series with non-i.i.d. innovations
Yunyi Zhang
195
1
0
11 Oct 2023
Sharper dimension-free bounds on the Frobenius distance between sample
  covariance and its expectation
Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectationBernoulli (Bernoulli), 2023
Nikita Puchkin
Fedor Noskov
V. Spokoiny
OT
257
9
0
28 Aug 2023
Learning Networks from Gaussian Graphical Models and Gaussian Free
  Fields
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields
Subhro Ghosh
Soumendu Sundar Mukherjee
Hoang-Son Tran
Ujan Gangopadhyay
193
1
0
04 Aug 2023
Tuning-free one-bit covariance estimation using data-driven dithering
Tuning-free one-bit covariance estimation using data-driven ditheringIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
S. Dirksen
J. Maly
631
12
0
24 Jul 2023
Statistical analysis for a penalized EM algorithm in high-dimensional
  mixture linear regression model
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression modelJournal of machine learning research (JMLR), 2023
Ning Wang
Xin Zhang
Qing Mai
249
4
0
21 Jul 2023
On Sufficient Graphical Models
On Sufficient Graphical ModelsJournal of machine learning research (JMLR), 2023
Bing Li
Kyongwon Kim
283
4
0
10 Jul 2023
Scattering Spectra Models for Physics
Scattering Spectra Models for PhysicsPNAS Nexus (PNAS Nexus), 2023
S. Cheng
Rudy Morel
Erwan Allys
Brice Ménard
S. Mallat
277
17
0
29 Jun 2023
Distributed Semi-Supervised Sparse Statistical Inference
Distributed Semi-Supervised Sparse Statistical InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Mingyue Xu
444
6
0
17 Jun 2023
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
A. Steland
201
0
0
14 Feb 2023
Dimension Reduction and MARS
Dimension Reduction and MARSJournal of machine learning research (JMLR), 2023
Yu Liu
Degui Li
Yingcun Xia
257
1
0
11 Feb 2023
Statistical Inference for Ultrahigh Dimensional Location Parameter Based
  on Spatial Median
Statistical Inference for Ultrahigh Dimensional Location Parameter Based on Spatial MedianStatistica sinica (Stat. Sinica), 2023
Guanghui Cheng
Liuhua Peng
Changliang Zou
210
7
0
09 Jan 2023
On High dimensional Poisson models with measurement error: hypothesis
  testing for nonlinear nonconvex optimization
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimizationAnnals of Statistics (Ann. Stat.), 2022
Fei Jiang
Yeqing Zhou
Jianxuan Liu
Yanyuan Ma
234
4
0
31 Dec 2022
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax
  Rates, Covariate Quantization, and Uniform Recovery
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform RecoveryIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Junren Chen
Michael Kwok-Po Ng
Haiyan Zhao
MQ
347
21
0
30 Dec 2022
Clustering through Feature Space Sequence Discovery and Analysis
Clustering through Feature Space Sequence Discovery and Analysis
Guobin Shi
133
0
0
02 Dec 2022
Projection inference for high-dimensional covariance matrices with
  structured shrinkage targets
Projection inference for high-dimensional covariance matrices with structured shrinkage targetsElectronic Journal of Statistics (EJS), 2022
Fabian Mies
A. Steland
208
3
0
04 Nov 2022
Inferring independent sets of Gaussian variables after thresholding
  correlations
Inferring independent sets of Gaussian variables after thresholding correlationsJournal of the American Statistical Association (JASA), 2022
Arkajyoti Saha
Daniela Witten
Jacob Bien
281
5
0
02 Nov 2022
The Generalized Elastic Net for least squares regression with
  network-aligned signal and correlated design
The Generalized Elastic Net for least squares regression with network-aligned signal and correlated designIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Huy Tran
Sansen Wei
Claire Donnat
330
4
0
01 Nov 2022
Bregman Divergence-Based Data Integration with Application to Polygenic
  Risk Score (PRS) Heterogeneity Adjustment
Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment
Qinmengge Li
M. Patrick
Haihan Zhang
Chachrit Khunsriraksakul
P. Stuart
...
James T. Elder
Dajiang J. Liu
Jian Kang
L. Tsoi
Kevin He
367
0
0
12 Oct 2022
Automatic sparse PCA for high-dimensional data
Automatic sparse PCA for high-dimensional dataStatistica sinica (SS), 2022
K. Yata
M. Aoshima
318
6
0
29 Sep 2022
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series
Sagnik Halder
George Michailidis
AI4TS
282
0
0
19 Sep 2022
Sparse Hanson-Wright Inequality for a Bilinear Form of Sub-Gaussian
  Variables
Sparse Hanson-Wright Inequality for a Bilinear Form of Sub-Gaussian VariablesSocial Science Research Network (SSRN), 2022
Seongoh Park
Xinlei Wang
Johan Lim
328
7
0
13 Sep 2022
Large covariance matrix estimation via penalized log-det heuristics
Large covariance matrix estimation via penalized log-det heuristics
E. Bernardi
M. Farné
218
0
0
11 Sep 2022
Majority Vote for Distributed Differentially Private Sign Selection
Majority Vote for Distributed Differentially Private Sign SelectionAnnals of Statistics (Ann. Stat.), 2022
Weidong Liu
Jiyuan Tu
Xiaojun Mao
Xinyu Chen
FedML
279
1
0
08 Sep 2022
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension
  and Localization
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and LocalizationInformation and Inference A Journal of the IMA (JIII), 2022
Omar Al Ghattas
D. Sanz-Alonso
387
24
0
05 Aug 2022
Adaptive Functional Thresholding for Sparse Covariance Function
  Estimation in High Dimensions
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High DimensionsJournal of the American Statistical Association (JASA), 2022
Qin Fang
Shaojun Guo
Xinghao Qiao
310
10
0
14 Jul 2022
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration ResultsJournal of Multivariate Analysis (J. Multivar. Anal.), 2022
Elad Romanov
Gil Kur
B. Nadler
393
5
0
21 Jun 2022
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Noise Covariance Estimation in Multi-Task High-dimensional Linear ModelsBernoulli (Bernoulli), 2022
Kai Tan
Gabriel Romon
Pierre C. Bellec
269
6
0
15 Jun 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
541
36
0
17 May 2022
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel
  Matrices with Polynomial Scalings
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial ScalingsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022
Yue M. Lu
H. Yau
285
37
0
12 May 2022
Selective inference for k-means clustering
Selective inference for k-means clusteringJournal of machine learning research (JMLR), 2022
Yiqun T. Chen
Daniela Witten
283
65
0
29 Mar 2022
An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse
  Precision Matrix Estimation via Scaled Lasso
An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse Precision Matrix Estimation via Scaled LassoComputational statistics (Zeitschrift) (CSZ), 2022
Seunghwan Lee
Sang Cheol Kim
Donghyeon Yu
218
0
0
28 Mar 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit
  Quantization
High Dimensional Statistical Estimation under Uniformly Dithered One-bit QuantizationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Junren Chen
Cheng-Long Wang
Michael Kwok-Po Ng
Haiyan Zhao
MQ
545
26
0
26 Feb 2022
123456
Next
Page 1 of 6