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. 1209.6419
  4. Cited By
Partial Gaussian Graphical Model Estimation

Partial Gaussian Graphical Model Estimation

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2012
28 September 2012
Xiao-Tong Yuan
Tong Zhang
ArXiv (abs)PDFHTML

Papers citing "Partial Gaussian Graphical Model Estimation"

10 / 10 papers shown
A convex formulation of covariate-adjusted Gaussian graphical models via
  natural parametrization
A convex formulation of covariate-adjusted Gaussian graphical models via natural parametrization
Ruobin Liu
Guo Yu
119
0
0
08 Oct 2024
A generalized likelihood based Bayesian approach for scalable joint
  regression and covariance selection in high dimensions
A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensionsStatistics and computing (Stat. Comput.), 2022
Srijata Samanta
Kshitij Khare
George Michailidis
297
9
0
14 Jan 2022
A Bayesian approach for partial Gaussian graphical models with sparsity
A Bayesian approach for partial Gaussian graphical models with sparsityBayesian Analysis (BA), 2021
Eunice Okome Obiang
Pascal Jézéquel
Frédéric Proia
241
2
0
23 May 2021
Learning Interpretable Models for Coupled Networks Under Domain
  Constraints
Learning Interpretable Models for Coupled Networks Under Domain ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2021
Hongyuan You
Sikun Lin
Ambuj K. Singh
66
1
0
19 Apr 2021
A partial graphical model with a structural prior on the direct links
  between predictors and responses
A partial graphical model with a structural prior on the direct links between predictors and responsesE S A I M: Probability & Statistics (ESAIM: P&S), 2020
Eunice Okome Obiang
Pascal Jézéquel
Frédéric Proia
128
2
0
26 Mar 2020
Inter-Subject Analysis: Inferring Sparse Interactions with Dense
  Intra-Graphs
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs
Cong Ma
Junwei Lu
Han Liu
209
8
0
20 Sep 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via
  Nonconvex Optimizations
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex OptimizationsNeural Information Processing Systems (NeurIPS), 2017
Pan Xu
Jian Ma
Quanquan Gu
CML
155
25
0
28 Feb 2017
Alternating Estimation for Structured High-Dimensional Multi-Response
  Models
Alternating Estimation for Structured High-Dimensional Multi-Response ModelsNeural Information Processing Systems (NeurIPS), 2016
Sheng Chen
A. Banerjee
219
15
0
29 Jun 2016
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian
  Graphical Models
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
Calvin McCarter
Seyoung Kim
124
15
0
15 Sep 2015
Sufficient Dimension Reduction and Modeling Responses Conditioned on
  Covariates: An Integrated Approach via Convex Optimization
Sufficient Dimension Reduction and Modeling Responses Conditioned on Covariates: An Integrated Approach via Convex Optimization
Armeen Taeb
V. Chandrasekaran
OffRL
149
0
0
16 Aug 2015
1