Estimating time-varying networks

30 December 2008

Papers citing "Estimating time-varying networks"

33 / 83 papers shown

Title
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction Ryohei Hisano 24 52 0 14 Oct 2016
Dynamic network models and graphon estimation Marianna Pensky 28 53 0 03 Jul 2016
Tuning-Free Heterogeneity Pursuit in Massive Networks Zhao Ren Yongjian Kang Yingying Fan Jinchi Lv 28 2 0 13 Jun 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 29 244 0 07 Jun 2016
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang Ritambhara Singh Yanjun Qi 14 12 0 11 May 2016
Contrastive Structured Anomaly Detection for Gaussian Graphical Models Abhinav K. Maurya Mark Cheung 18 4 0 02 May 2016
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models L. Schwaller Stephane S. Robin 11 12 0 25 Mar 2016
A Survey on Social Media Anomaly Detection Rose Yu Huida Qiu Zhen Wen Ching-Yung Lin Yan Liu 15 100 0 06 Jan 2016
Nonparametric mixture of Gaussian graphical models Kevin H. Lee Lingzhou Xue 6 2 0 31 Dec 2015
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models Junwei Lu Mladen Kolar Han Liu 12 27 0 28 Dec 2015
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 39 22 0 24 Dec 2014
Modular proximal optimization for multidimensional total-variation regularization Á. Jiménez S. Sra 33 118 0 03 Nov 2014
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract Qi Rose Yu Xinran He Yan Liu 24 131 0 07 Oct 2014
Sequential Changepoint Approach for Online Community Detection David Marangoni-Simonsen Yao Xie 44 17 0 22 Jul 2014
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series Huitong Qiu Fang Han Han Liu B. Caffo 43 97 0 01 Nov 2013
On model selection consistency of regularized M-estimators J. Lee Yuekai Sun Jonathan E. Taylor 31 45 0 31 May 2013
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization Shawn Mankad George Michailidis AI4TS 28 54 0 30 May 2013
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 26 206 0 21 Mar 2013
Dynamical Models and Tracking Regret in Online Convex Programming Eric C. Hall Rebecca Willett 33 115 0 07 Jan 2013
Fused Multiple Graphical Lasso Sen Yang Zhaosong Lu Xiaotong Shen Peter Wonka Jieping Ye 60 106 0 10 Sep 2012
Nonparametric Link Prediction in Dynamic Networks Purnamrita Sarkar Deepayan Chakrabarti Michael I. Jordan 14 136 0 27 Jun 2012
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection Shiqian Ma Lingzhou Xue H. Zou 39 101 0 06 Jun 2012
Lipschitz Parametrization of Probabilistic Graphical Models Jean Honorio 33 22 0 14 Feb 2012
Sparse Nonparametric Graphical Models John D. Lafferty Han Liu Larry A. Wasserman 47 64 0 04 Jan 2012
Nonparametric Link Prediction in Large Scale Dynamic Networks Purnamrita Sarkar Deepayan Chakrabarti Michael I. Jordan 71 29 0 06 Sep 2011
Finding Non-overlapping Clusters for Generalized Inference Over Graphical Models Divyanshu Vats José M. F. Moura 56 5 0 20 Jul 2011
Estimating Networks With Jumps Mladen Kolar Eric P. Xing 54 66 0 17 Dec 2010
Point process modeling for directed interaction networks Patrick O. Perry P. Wolfe 73 212 0 08 Nov 2010
High Dimensional Structure Learning of Ising Models on Sparse Random Graphs Anima Anandkumar Vincent Tan A. Willsky 71 5 0 31 Oct 2010
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields Mladen Kolar Eric P. Xing 86 23 0 14 Jul 2009
A state-space mixed membership blockmodel for dynamic network tomography Eric P. Xing Wenjie Fu Le Song 84 238 0 31 Dec 2008
Properties and refinements of the fused lasso Alessandro Rinaldo 60 182 0 02 May 2008
Time Varying Undirected Graphs Shuheng Zhou John D. Lafferty Larry A. Wasserman 106 240 0 20 Feb 2008