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Estimating a network from multiple noisy realizations

Estimating a network from multiple noisy realizations

13 October 2017
Can M. Le
Keith Levin
Elizaveta Levina
ArXivPDFHTML

Papers citing "Estimating a network from multiple noisy realizations"

14 / 14 papers shown
Title
Common and Individual Structure of Brain Networks
Common and Individual Structure of Brain Networks
Lu Wang
Zhengwu Zhang
David B. Dunson
33
41
0
20 Jul 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
66
1,187
0
29 Mar 2017
Connectome Smoothing via Low-rank Approximations
Connectome Smoothing via Low-rank Approximations
Runze Tange
M. Ketcha
A. Badea
Evan Calabrese
D. Margulies
Joshua T. Vogelstein
Carey E. Priebe
D. Sussman
32
35
0
06 Sep 2016
Concentration and regularization of random graphs
Concentration and regularization of random graphs
Can M. Le
Elizaveta Levina
Roman Vershynin
52
153
0
01 Jun 2015
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
126
232
0
14 May 2015
Sparse random graphs: regularization and concentration of the Laplacian
Sparse random graphs: regularization and concentration of the Laplacian
Can M. Le
Elizaveta Levina
Roman Vershynin
82
56
0
10 Feb 2015
Likelihood-based model selection for stochastic block models
Likelihood-based model selection for stochastic block models
Y. X. R. Wang
Peter J. Bickel
54
182
0
06 Feb 2015
Statistical guarantees for the EM algorithm: From population to
  sample-based analysis
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
113
477
0
09 Aug 2014
Network histograms and universality of blockmodel approximation
Network histograms and universality of blockmodel approximation
S. Olhede
P. Wolfe
64
152
0
18 Dec 2013
Impact of regularization on Spectral Clustering
Impact of regularization on Spectral Clustering
Antony Joseph
Bin Yu
93
164
0
05 Dec 2013
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency
  Spectral Embedding
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
V. Lyzinski
D. Sussman
M. Tang
A. Athreya
Carey Priebe
76
117
0
02 Oct 2013
Spectral redemption: clustering sparse networks
Spectral redemption: clustering sparse networks
Florent Krzakala
Cristopher Moore
Elchanan Mossel
Joe Neeman
Allan Sly
Lenka Zdeborová
Pan Zhang
75
618
0
24 Jun 2013
Co-clustering separately exchangeable network data
Co-clustering separately exchangeable network data
David S. Choi
P. Wolfe
102
60
0
17 Dec 2012
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
149
980
0
29 Dec 2009
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