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Latent space models for multiplex networks with shared structure


Dec 28, 2020
Peter W. MacDonald, Elizaveta Levina, Ji Zhu

* 41 pages, 8 figures 

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Overlapping community detection in networks via sparse spectral decomposition


Sep 20, 2020
Jesús Arroyo, Elizaveta Levina


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Community models for partially observed networks from surveys


Aug 09, 2020
Tianxi Li, Elizaveta Levina, Ji Zhu


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Simultaneous prediction and community detection for networks with application to neuroimaging


Feb 28, 2020
Jesús Arroyo, Elizaveta Levina


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High-dimensional Gaussian graphical model for network-linked data


Jul 04, 2019
Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu


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Recovering low-rank structure from multiple networks with unknown edge distributions


Jun 13, 2019
Keith Levin, Asad Lodhia, Elizaveta Levina


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Graph-aware linear mixed effects models for brain connectivity networks


Mar 06, 2019
Yura Kim, Elizaveta Levina


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Hierarchical community detection by recursive bi-partitioning


Oct 02, 2018
Tianxi Li, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina


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Network cross-validation by edge sampling


May 09, 2018
Tianxi Li, Elizaveta Levina, Ji Zhu


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Network classification with applications to brain connectomics


Apr 23, 2018
Jesús D. Arroyo-Relión, Daniel Kessler, Elizaveta Levina, Stephan F. Taylor


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Link prediction for egocentrically sampled networks


Mar 12, 2018
Yun-Jhong Wu, Elizaveta Levina, Ji Zhu


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Estimating network edge probabilities by neighborhood smoothing


Jul 08, 2017
Yuan Zhang, Elizaveta Levina, Ji Zhu

* 22 pages, 4 figures, 3 table 

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Generalized linear models with low rank effects for network data


May 18, 2017
Yun-Jhong Wu, Elizaveta Levina, Ji Zhu


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High-dimensional Mixed Graphical Models


Aug 19, 2016
Jie Cheng, Tianxi Li, Elizaveta Levina, Ji Zhu


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On semidefinite relaxations for the block model


Mar 16, 2016
Arash A. Amini, Elizaveta Levina


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Community Detection in Networks with Node Features


Sep 03, 2015
Yuan Zhang, Elizaveta Levina, Ji Zhu

* Electronic Journal of Statistics, Volume 10, Number 2 (2016), 3153-3178 
* 16 pages, 5 pages 

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Estimating the number of communities in networks by spectral methods


Jul 03, 2015
Can M. Le, Elizaveta Levina


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Optimization via Low-rank Approximation for Community Detection in Networks


May 10, 2015
Can M. Le, Elizaveta Levina, Roman Vershynin

* 45 pages, 7 figures; added discussions about computational complexity and extension to more than two communities 

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Detecting Overlapping Communities in Networks Using Spectral Methods


Mar 12, 2015
Yuan Zhang, Elizaveta Levina, Ji Zhu

* 29 pages, 2 figures, 3 tables 

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Pseudo-likelihood methods for community detection in large sparse networks


Nov 05, 2013
Arash A. Amini, Aiyou Chen, Peter J. Bickel, Elizaveta Levina

* Annals of Statistics 2013, Vol. 41, No. 4, 2097-2122 
* Published in at http://dx.doi.org/10.1214/13-AOS1138 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Link prediction for partially observed networks


Jan 29, 2013
Yunpeng Zhao, Elizaveta Levina, Ji Zhu


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Sparse Ising Models with Covariates


Sep 27, 2012
Jie Cheng, Elizaveta Levina, Pei Wang, Ji Zhu

* 32 pages (including 5 pages of appendix), 3 figures, 2 tables 

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