The huge Package for High-dimensional Undirected Graph Estimation in R

26 June 2020

Papers citing "The huge Package for High-dimensional Undirected Graph Estimation in R"

50 / 58 papers shown

Title
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 54 1 0 22 May 2023
Inferring independent sets of Gaussian variables after thresholding correlations Arkajyoti Saha Daniela Witten Jacob Bien 49 4 0 02 Nov 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 63 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
Group-wise shrinkage estimation in penalized model-based clustering A. Casa A. Cappozzo Michael Fop 39 4 0 17 May 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 60 3 0 14 May 2021
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM Nathan Osborne Christine B. Peterson M. Vannucci BDL 54 18 0 25 Oct 2020
PhD dissertation to infer multiple networks from microbial data Sahar Tavakoli 36 0 0 12 Oct 2020
Unsupervised and Supervised Structure Learning for Protein Contact Prediction S. Sun 41 0 0 31 Aug 2020
Accounting for missing actors in interaction network inference from abundance data Raphaelle Momal Stephane S. Robin Christophe Ambroise CML 45 5 0 28 Jul 2020
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R Xingguo Li T. Zhao Xiaoming Yuan Han Liu 76 75 0 27 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms Adam Sutton N. Cristianini 52 8 0 17 Jun 2020
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence Seongoh Park Xinlei Wang Johan Lim 76 14 0 08 Jun 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 85 7 0 20 May 2020
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery M. Laszkiewicz Asja Fischer Johannes Lederer 67 6 0 01 May 2020
Dependence in elliptical partial correlation graphs D. Rossell Piotr Zwiernik 59 19 0 28 Apr 2020
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question Jesús Arroyo Carey E. Priebe V. Lyzinski 55 2 0 05 Feb 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 89 23 0 02 Jan 2020
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling Chihao Zhang Kuo Gai Shihua Zhang 56 12 0 25 Nov 2019
Model Selection With Graphical Neighbour Information R. O’Shea 383 0 0 27 Aug 2019
High-dimensional Gaussian graphical model for network-linked data Tianxi Li Cheng Qian Elizaveta Levina Ji Zhu 55 15 0 04 Jul 2019
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model P. Barbillon J. Chiquet Timothée Tabouy 53 2 0 28 Jun 2019
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization Cody Mazza-Anthony Bogdan Mazoure Mark Coates 62 4 0 06 Jun 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 86 115 0 22 Apr 2019
Model-based clustering in very high dimensions via adaptive projections B. Taschler F. Dondelinger S. Mukherjee VLM 41 5 0 22 Feb 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails Liu Liu Tianyang Li Constantine Caramanis 74 14 0 24 Jan 2019
Uniform Inference in High-Dimensional Gaussian Graphical Models Jan Rabenseifner Jannis Kuck Martin Spindler Victor Chernozhukov 41 6 0 30 Aug 2018
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Yingxiang Yang Adams Wei Yu Zhaoran Wang T. Zhao 40 3 0 11 Mar 2018
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor Yu Liu Zhao Ren 52 11 0 27 Dec 2017
An Expectation Conditional Maximization approach for Gaussian graphical models Z. Li Tyler H. McCormick 76 26 0 20 Sep 2017
Sparse Inverse Covariance Estimation for High-throughput microRNA Sequencing Data in the Poisson Log-Normal Graphical Model David G. Sinclair Giles Hooker 49 5 0 15 Aug 2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions Xingguo Li Lin F. Yang J. Ge Jarvis Haupt Tong Zhang T. Zhao 48 14 0 19 Jun 2017
Indirect Gaussian Graph Learning beyond Gaussianity Yiyuan She Shao Tang Qiaoya Zhang 55 3 0 08 Oct 2016
Tensor Graphical Model: Non-convex Optimization and Statistical Inference Xiang Lyu W. Sun Zhaoran Wang Han Liu Jian Yang Guang Cheng CML 53 0 0 15 Sep 2016
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization Xingguo Li T. Zhao R. Arora Han Liu Mingyi Hong 68 15 0 10 Jul 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 49 21 0 23 May 2016
Efficient Distributed Estimation of Inverse Covariance Matrices Jesús Arroyo Elizabeth Hou 49 8 0 03 May 2016
Block-diagonal covariance selection for high-dimensional Gaussian graphical models Emilie Devijver M. Gallopin 69 43 0 12 Nov 2015
High-dimensional robust precision matrix estimation: Cellwise corruption under $ε$ -contamination Po-Ling Loh X. Tan 90 31 0 24 Sep 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 108 130 0 09 Jul 2015
Bayesian Additive Regression Trees using Bayesian Model Averaging B. Hernández A. Raftery S. Pennington Andrew C. Parnell 64 63 0 01 Jul 2015
Effects of Nonparanormal Transform on PC and GES Search Accuracies Joseph Ramsey 57 0 0 07 May 2015
Graphical Exponential Screening Zhe Liu 66 2 0 09 Mar 2015
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models Abdolreza Mohammadi E. Wit CML 74 104 0 21 Jan 2015
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 99 22 0 24 Dec 2014
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 222 46 0 23 Dec 2014
Joint Association Graph Screening and Decomposition for Large-scale Linear Dynamical Systems Yiyuan She Yuejia He Shijie Li D. Wu 49 6 0 17 Nov 2014
An Aggregation Method for Sparse Logistic Regression Zhe Liu 69 0 0 25 Oct 2014