$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$

High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence

21 November 2008

Papers citing "High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence"

50 / 334 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 21 0 0 14 May 2025
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD Sungdong Lee Joshua Bang Youngrae Kim Hyungwon Choi Sang-Yun Oh Joong-Ho Won 59 0 0 16 Dec 2024
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation Boxin Zhao Cong Ma Mladen Kolar 77 1 0 23 Nov 2024
Online Learning Of Expanding Graphs Samuel Rey Bishwadeep Das Elvin Isufi 19 1 0 13 Sep 2024
Distributional stability of sparse inverse covariance matrix estimators Renjie Chen Huifu Xu Henryk Zähle 24 0 0 06 Jul 2024
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 30 1 0 25 Jun 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro Samuel Rey Andrei Buciulea Antonio G. Marques Santiago Segarra 43 5 0 13 Jun 2024
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models Tong Xu Armeen Taeb Simge Kuccukyavuz Ali Shojaie CML 39 1 0 19 Apr 2024
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport Q. Zhang Bing Li Lingzhou Xue 34 0 0 10 Apr 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models Haoyue Dai Ignavier Ng Yujia Zheng Zhengqing Gao Anton van den Hengel 29 3 0 21 Mar 2024
The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control Jiajun Liang Yue Liu Doudou Zhou Sinian Zhang Junwei Lu 46 0 0 18 Mar 2024
Extremal graphical modeling with latent variables via convex optimization Sebastian Engelke Armeen Taeb 31 2 0 14 Mar 2024
Finding Super-spreaders in Network Cascades Elchanan Mossel Anirudh Sridhar 24 1 0 05 Mar 2024
Dimension-free Structured Covariance Estimation Nikita Puchkin Maxim Rakhuba 17 1 0 15 Feb 2024
Estimation of partially known Gaussian graphical models with score-based structural priors Martín Sevilla Antonio G. Marques Santiago Segarra 6 2 0 25 Jan 2024
Maximum likelihood thresholds of Gaussian graphical models and graphical lasso Daniel Irving Bernstein Hayden Outlaw 23 0 0 05 Dec 2023
Learning High-Dimensional Differential Graphs From Multi-Attribute Data Jitendra Tugnait 17 2 0 05 Dec 2023
Bayesian Approach to Linear Bayesian Networks Seyong Hwang Kyoungjae Lee Sunmin Oh Gunwoong Park 29 0 0 27 Nov 2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization Joowon Lee Hanbaek Lyu Weixin Yao 13 1 0 18 Nov 2023
Compressive Recovery of Sparse Precision Matrices Titouan Vayer Etienne Lasalle Rémi Gribonval Paulo Gonçalves 22 0 0 08 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng Anton van den Hengel CML 28 16 0 01 Nov 2023
Causal Discovery with Generalized Linear Models through Peeling Algorithms Minjie Wang Xiaotong Shen Wei Pan CML 21 0 0 25 Oct 2023
Structural transfer learning of non-Gaussian DAG Mingyang Ren Xin He Junhui Wang CML 19 0 0 16 Oct 2023
Sparsistency for Inverse Optimal Transport Francisco Andrade Gabriel Peyré Clarice Poon 18 6 0 09 Oct 2023
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models Borui Tang Jin Zhu Junxian Zhu Xueqin Wang Heping Zhang 17 0 0 12 Sep 2023
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields Subhro Ghosh Soumendu Sundar Mukherjee Hoang-Son Tran Ujan Gangopadhyay 22 0 0 04 Aug 2023
Graphical lasso for extremes Phyllis Wan Chen Zhou 16 8 0 27 Jul 2023
Solution Path of Time-varying Markov Random Fields with Discrete Regularization S. Fattahi A. Gómez 11 1 0 25 Jul 2023
Partial Inference in Structured Prediction Chuyang Ke Jean Honorio 16 0 0 06 Jun 2023
The Functional Graphical Lasso Kartik G. Waghmare T. Masak V. Panaretos 14 1 0 04 Jun 2023
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 11 1 0 22 May 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng Ignavier Ng Yewen Fan Anton van den Hengel 11 4 0 19 May 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Anton van den Hengel CML 26 21 0 04 Apr 2023
Sharper rates of convergence for the tensor graphical Lasso estimator Shuheng Zhou Kristjan Greenewald 45 0 0 02 Apr 2023
Module-based regularization improves Gaussian graphical models when observing noisy data Magnus Neuman J. Calatayud Viktor Tasselius M. Rosvall 20 1 0 29 Mar 2023
Application of fused graphical lasso to statistical inference for multiple sparse precision matrices Qiuyan Zhang Zhidong Bai Lingrui Li Hu Yang 8 0 0 02 Mar 2023
Continuously Indexed Graphical Models Kartik G. Waghmare V. Panaretos 20 1 0 05 Feb 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry A. Maurais Terrence Alsup Benjamin Peherstorfer Youssef Marzouk 28 7 0 31 Jan 2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression Wenquan Cui Yue Zhao Jianjun Xu Haoyang Cheng FedML 10 1 0 23 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression Deepak Maurya Jean Honorio AAML 28 0 0 21 Dec 2022
On the local metric property in multivariate extremes Frank Rottger Quentin Schmitz 35 4 0 20 Dec 2022
Joint graph learning from Gaussian observations in the presence of hidden nodes Samuel Rey Madeline Navarro Andrei Buciulea Santiago Segarra A. Marques CML 23 4 0 04 Dec 2022
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 19 2 0 21 Nov 2022
Transfer learning for tensor Gaussian graphical models Mingyang Ren Yao Zhen Junhui Wang 19 1 0 17 Nov 2022
Methods for Recovering Conditional Independence Graphs: A Survey H. Shrivastava Urszula Chajewska CML 22 11 0 13 Nov 2022
Adaptive Estimation of Graphical Models under Total Positivity Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 37 4 0 27 Oct 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 6 1 0 20 Oct 2022
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model Hua Li Wenya Luo Z. Bai Huanchao Zhou Zhangni Pu 15 2 0 08 Oct 2022
Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity Andersen Chang Lili Zheng Genevera I. Allen 11 3 0 17 Sep 2022