Sparse Nonparametric Graphical Models

4 January 2012

Papers citing "Sparse Nonparametric Graphical Models"

25 / 25 papers shown

Title
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 15 1 0 25 Jun 2024
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport Q. Zhang Bing Li Lingzhou Xue 19 0 0 10 Apr 2024
Model selection for Markov random fields on graphs under a mixing condition Florencia Leonardi Magno T. F. Severino 14 0 0 03 Nov 2023
Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification Hamed Jalali Gjergji Kasneci 11 0 0 17 Nov 2022
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data Sijia Li Martín López-García Neil D. Lawrence Luisa Cutillo 19 5 0 15 Mar 2022
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes Hamed Jalali Gjergji Kasneci FedML 12 0 0 07 Feb 2022
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows Qiangqiang Huang Can Pu Kasra Khosoussi David M. Rosen D. Fourie Jonathan P. How J. Leonard 40 7 0 02 Oct 2021
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows Qiangqiang Huang Can Pu D. Fourie Kasra Khosoussi Jonathan P. How J. Leonard 15 12 0 11 May 2021
Learning Continuous Exponential Families Beyond Gaussian C. Ren Sidhant Misra Marc Vuffray A. Lokhov 15 5 0 18 Feb 2021
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions Florencia Leonardi Rodrigo Carvalho 15 2 0 27 Nov 2019
Path Weights in Concentration Graphs A. Roverato R. Castelo 11 6 0 12 Jul 2019
Graphical Models for Extremes Sebastian Engelke Adrien Hitz 9 107 0 04 Dec 2018
Beyond Trees: Classification with Sparse Pairwise Dependencies Yaniv Tenzer Amit Moscovich M. Dorn B. Nadler C. Spiegelman 9 1 0 06 Jun 2018
Learning non-parametric Markov networks with mutual information Janne Leppä-aho Santeri Räisänen Xiao Yang Teemu Roos 11 2 0 08 Aug 2017
Regularized Estimation of Piecewise Constant Gaussian Graphical Models: The Group-Fused Graphical Lasso A. Gibberd J. Nelson 16 68 0 19 Dec 2015
Structure estimation for mixed graphical models in high-dimensional data Jonas M. B. Haslbeck L. Waldorp CML 13 47 0 19 Oct 2015
Linear-time Learning on Distributions with Approximate Kernel Embeddings Danica J. Sutherland Junier B. Oliva Barnabás Póczós J. Schneider 18 17 0 24 Sep 2015
On estimation of the diagonal elements of a sparse precision matrix Samuel Balmand A. Dalalyan 28 9 0 18 Apr 2015
Active Learning for Undirected Graphical Model Selection Divyanshu Vats Robert D. Nowak Richard G. Baraniuk 34 8 0 13 Apr 2014
A Hierarchical Graphical Model for Big Inverse Covariance Estimation with an Application to fMRI Xi Luo 32 10 0 19 Mar 2014
Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics Xiao-Tong Yuan Ping Li Tong Zhang 33 1 0 21 Nov 2013
A Junction Tree Framework for Undirected Graphical Model Selection Divyanshu Vats Robert D. Nowak CML 38 8 0 17 Apr 2013
On Graphical Models via Univariate Exponential Family Distributions Eunho Yang Pradeep Ravikumar Genevera I. Allen Zhandong Liu 40 172 0 17 Jan 2013
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 45 409 0 10 Feb 2012
Time Varying Undirected Graphs Shuheng Zhou John D. Lafferty Larry A. Wasserman 106 240 0 20 Feb 2008