The Nonparanormal SKEPTIC

27 June 2012

Papers citing "The Nonparanormal SKEPTIC"

50 / 66 papers shown

Title
Academic Network Representation via Prediction-Sampling Incorporated Tensor Factorization Chunyang Zhang Xin Liao Hao Wu 37 0 0 11 Apr 2025
Efficient learning of differential network in multi-source non-paranormal graphical models Mojtaba Nikahd Seyed Abolfazl Motahari 20 0 0 03 Oct 2024
Sub-Gaussian High-Dimensional Covariance Matrix Estimation under Elliptical Factor Model with 2 + εth Moment Yi Ding Xinghua Zheng 32 0 0 26 Jun 2024
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 38 1 0 25 Jun 2024
Property testing in graphical models: testing small separation numbers Luc Devroye Gábor Lugosi Piotr Zwiernik 22 0 0 16 May 2024
Learning Directed Acyclic Graphs from Partial Orderings Ali Shojaie Wenyu Chen CML 45 0 0 24 Mar 2024
On Sufficient Graphical Models Bing Li Kyongwon Kim 22 0 0 10 Jul 2023
Entropic covariance models Piotr Zwiernik 22 2 0 06 Jun 2023
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 19 1 0 22 May 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
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 21 2 0 21 Nov 2022
Inferring independent sets of Gaussian variables after thresholding correlations Arkajyoti Saha Daniela Witten Jacob Bien 24 3 0 02 Nov 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 13 1 0 20 Oct 2022
Low-Rank Covariance Completion for Graph Quilting with Applications to Functional Connectivity Andersen Chang Lili Zheng Genevera I. Allen 16 3 0 17 Sep 2022
Neural Copula: A unified framework for estimating generic high-dimensional Copula functions Zhi Zeng Ting Wang 9 5 0 23 May 2022
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data Sijia Li Martín López-García Neil D. Lawrence Luisa Cutillo 32 5 0 15 Mar 2022
Estimating Gaussian Copulas with Missing Data Maximilian Kertel Markus Pauly 23 3 0 14 Jan 2022
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 32 2 0 07 Jul 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 36 3 0 07 Jul 2021
The Variational Bayesian Inference for Network Autoregression Models Wei Lai Ray-Bing Chen Ying Chen Thorsten Koch 12 0 0 18 Feb 2021
Learning Continuous Exponential Families Beyond Gaussian C. Ren Sidhant Misra Marc Vuffray A. Lokhov 39 5 0 18 Feb 2021
Locally associated graphical models and mixed convex exponential families Steffen Lauritzen Piotr Zwiernik 19 11 0 11 Aug 2020
Robust Estimation of Tree Structured Ising Models A. Katiyar Vatsal Shah C. Caramanis TPM 24 10 0 10 Jun 2020
Bayesian Semi-supervised learning under nonparanormality Rui Zhu Shuvrarghya Ghosh S. Ghosal 8 0 0 11 Jan 2020
Structure recovery for partially observed discrete Markov random fields on graphs under not necessarily positive distributions Florencia Leonardi Rodrigo Carvalho 22 2 0 27 Nov 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 30 224 0 07 Oct 2019
Learning partial correlation graphs and graphical models by covariance queries Gábor Lugosi J. Truszkowski Vasiliki Velona Piotr Zwiernik 10 6 0 22 Jun 2019
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization Cody Mazza-Anthony Bogdan Mazoure Mark J. Coates 22 3 0 06 Jun 2019
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications Zhipeng Wang D. W. Scott 29 69 0 30 Mar 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li C. Caramanis 21 14 0 24 Jan 2019
Generalized Score Matching for Non-Negative Data Shiqing Yu Mathias Drton Ali Shojaie 24 2 0 26 Dec 2018
Learning high-dimensional graphical models with regularized quadratic scoring Eric Janofsky 19 1 0 15 Sep 2018
Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation Yuya Takashina Shuyo Nakatani Masato Inoue 12 0 0 03 Jul 2018
High-Dimensional Inference for Cluster-Based Graphical Models Carson Eisenach F. Bunea Y. Ning Claudiu Dinicu 14 8 0 13 Jun 2018
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective Ronak R. Mehta Hyunwoo J. Kim Shulei Wang Sterling C. Johnson Ming Yuan Vikas Singh 29 0 0 20 Nov 2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs Cong Ma Junwei Lu Han Liu 16 8 0 20 Sep 2017
Learning non-parametric Markov networks with mutual information Janne Leppä-aho Santeri Räisänen Xiao Yang Teemu Roos 21 2 0 08 Aug 2017
Nonparanormal Information Estimation Shashank Singh Barnabás Póczós 21 20 0 24 Feb 2017
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models Pan Xu Lu Tian Quanquan Gu FedML 21 7 0 29 Dec 2016
Indirect Gaussian Graph Learning beyond Gaussianity Yiyuan She Shao Tang Qiaoya Zhang 26 3 0 08 Oct 2016
An Exponential Inequality for U-Statistics under Mixing Conditions Fang Han 27 24 0 22 Sep 2016
Graphical Models for Discrete and Continuous Data Rui Zhuang Noah Simon Johannes Lederer 18 4 0 18 Sep 2016
Information Theoretic Structure Learning with Confidence Kevin R. Moon M. Noshad Salimeh Yasaei Sekeh Alfred Hero 19 18 0 13 Sep 2016
A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution David I. Inouye Eunho Yang Genevera I. Allen Pradeep Ravikumar 28 112 0 31 Aug 2016
Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics Yuying Xie Yufeng Liu W. Valdar 25 26 0 30 Aug 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 44 246 0 07 Jun 2016
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models Junwei Lu Mladen Kolar Han Liu 22 9 0 28 Dec 2015
Structure estimation for mixed graphical models in high-dimensional data Jonas M. B. Haslbeck L. Waldorp CML 26 47 0 19 Oct 2015
Sufficient Forecasting Using Factor Models Jianqing Fan Lingzhou Xue Jiawei Yao AI4TS 42 76 0 27 May 2015
Graphical Fermat's Principle and Triangle-Free Graph Estimation Junwei Lu Han Liu 24 0 0 23 Apr 2015