Extended Bayesian Information Criteria for Gaussian Graphical Models

30 November 2010

Papers citing "Extended Bayesian Information Criteria for Gaussian Graphical Models"

50 / 71 papers shown

Title
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures Tuan Thai TrungTin Nguyen Dat Do Nhat Ho Christopher Drovandi 197 0 0 19 May 2025
ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting Huiqi Wu Jianbo Mei Yingjie Huang Yining Xu Jingjiao You Yilong Liu Li Yao 3DGS 68 0 0 14 Apr 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 83 0 0 16 Dec 2024
DC Algorithm for Estimation of Sparse Gaussian Graphical Models Tomokaze Shiratori Yuichi Takano 60 0 0 08 Aug 2024
Stable network inference in high-dimensional graphical model using single-linkage Emilie Devijver Rémi Molinier M. Gallopin 53 0 0 14 Jun 2024
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity Junhui He Ying Yang Jian Kang 64 1 0 22 May 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 95 6 0 02 May 2024
High-dimensional copula-based Wasserstein dependence S. Keyser Irène Gijbels 75 1 0 10 Apr 2024
Inconsistency of cross-validation for structure learning in Gaussian graphical models Zhao Lyu Wai Ming Tai Mladen Kolar Bryon Aragam CML 35 0 0 28 Dec 2023
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes Jaeyoung Chung Suyoung Lee Hyeongjin Nam Jaerin Lee Kyoung Mu Lee 3DGS 115 132 0 22 Nov 2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle H. Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 126 7 0 21 Sep 2023
Generalized Information Criteria for Structured Sparse Models Eduardo F. Mendes Gabriel J. P. Pinto 25 0 0 04 Sep 2023
On the application of Gaussian graphical models to paired data problems Saverio Ranciati A. Roverato 81 1 0 26 Jul 2023
Testing Sparsity Assumptions in Bayesian Networks Luke Duttweiler Sally W. Thurston A. Almudevar 53 0 0 12 Jul 2023
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 48 1 0 22 May 2023
On Learning Time Series Summary DAGs: A Frequency Domain Approach Aramayis Dallakyan CML AI4TS 55 3 0 17 Apr 2023
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 62 2 0 21 Nov 2022
An Experimental Study of Dimension Reduction Methods on Machine Learning Algorithms with Applications to Psychometrics Sean H. Merritt A. Christensen 25 3 0 19 Oct 2022
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification Bowen Gang Yuantao Shi Wenguang Sun 60 2 0 09 Oct 2022
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 77 5 0 05 Oct 2022
On the Lasso for Graphical Continuous Lyapunov Models Philipp Dettling Mathias Drton Mladen Kolar 40 6 0 29 Aug 2022
Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks V. Ravikumar Tong Xu W. Al-Holou Salar Fattahi Arvind Rao 61 2 0 21 Jun 2022
Inference of Multiscale Gaussian Graphical Model Do Edmond Sanou Christophe Ambroise Geneviève Robin 74 1 0 11 Feb 2022
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles Tianyi Yao Minjie Wang Genevera I. Allen 52 1 0 22 Oct 2021
GGLasso -- a Python package for General Graphical Lasso computation Fabian Schaipp Christian L. Müller Oleg Vlasovets 21 10 0 20 Oct 2021
GLIME: A new graphical methodology for interpretable model-agnostic explanations Zoumpolia Dikopoulou S. Moustakidis Patrik Karlsson 20 6 0 21 Jul 2021
Time Series Graphical Lasso and Sparse VAR Estimation Aramayis Dallakyan Rakheon Kim Mohsen Pourahmadi AI4TS 125 12 0 04 Jul 2021
Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method Aramayis Dallakyan Mohsen Pourahmadi CML 41 2 0 04 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 78 60 0 14 Jun 2021
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity Minjie Wang Genevera I. Allen 43 5 0 13 Apr 2021
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models M. Abolfazli A. Høst-Madsen Igor Molybog A. Bratincsák 20 5 0 04 Feb 2021
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning Ruiyu Xu Jianguo Wu Xiaowei Yue Yongxiang Li 56 9 0 24 Sep 2020
Locally associated graphical models and mixed convex exponential families Steffen Lauritzen Piotr Zwiernik 92 13 0 11 Aug 2020
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 74 481 0 26 Jun 2020
Structure Learning for Cyclic Linear Causal Models Carlos Améndola Philipp Dettling Mathias Drton Federica Onori Jun Wu CML 66 16 0 10 Jun 2020
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion Kazuaki Murayama Shuichi Kawano 32 0 0 07 May 2020
Dependence in elliptical partial correlation graphs D. Rossell Piotr Zwiernik 59 19 0 28 Apr 2020
KoPA: Automated Kronecker Product Approximation Chencheng Cai Rong Chen Han Xiao 52 13 0 05 Dec 2019
Gextext: Disease Network Extraction from Biomedical Literature R. O’Shea MedIm 41 1 0 06 Nov 2019
Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity Sen Na Mladen Kolar Oluwasanmi Koyejo 56 24 0 12 Sep 2019
Model Selection With Graphical Neighbour Information R. O’Shea 383 0 0 27 Aug 2019
Causal Inference Under Interference And Network Uncertainty Rohit Bhattacharya Daniel Malinsky I. Shpitser CML 61 64 0 29 Jun 2019
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 64 13 0 25 Jun 2019
High-dimensional variable selection via low-dimensional adaptive learning C. Staerk M. Kateri I. Ntzoufras 46 7 0 17 Apr 2019
Generalized Score Matching for Non-Negative Data Shiqing Yu Mathias Drton Ali Shojaie 143 2 0 26 Dec 2018
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 76 12 0 11 Dec 2018
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 61 7 0 11 Oct 2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model Daniel Andrade Akiko Takeda Kenji Fukumizu 58 4 0 15 Jun 2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models S. Majumdar George Michailidis 50 4 0 09 Mar 2018
Model-based Clustering with Sparse Covariance Matrices Michael Fop T. B. Murphy Luca Scrucca 78 39 0 21 Nov 2017