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Consistency of spectral clustering in stochastic block models
v1v2v3 (latest)

Consistency of spectral clustering in stochastic block models

7 December 2013
Jing Lei
Alessandro Rinaldo
ArXiv (abs)PDFHTML

Papers citing "Consistency of spectral clustering in stochastic block models"

50 / 313 papers shown
Title
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
237
260
0
27 Sep 2017
The Geometric Block Model
The Geometric Block Model
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
113
28
0
16 Sep 2017
A statistical interpretation of spectral embedding: the generalised
  random dot product graph
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
311
143
0
16 Sep 2017
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
233
265
0
16 Sep 2017
Revisiting Spectral Graph Clustering with Generative Community Models
Revisiting Spectral Graph Clustering with Generative Community Models
Pin-Yu Chen
Lingfei Wu
210
12
0
14 Sep 2017
Estimating Mixed Memberships with Sharp Eigenvector Deviations
Estimating Mixed Memberships with Sharp Eigenvector Deviations
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
312
89
0
01 Sep 2017
Two provably consistent divide and conquer clustering algorithms for
  large networks
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
158
15
0
18 Aug 2017
Consistent Estimation of Mixed Memberships with Successive Projections
Consistent Estimation of Mixed Memberships with Successive Projections
Maxim Panov
Konstantin Slavnov
Roman Ushakov
152
20
0
05 Jul 2017
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
Debarghya Ghoshdastidar
Maurilio Gutzeit
Alexandra Carpentier
U. V. Luxburg
184
60
0
04 Jul 2017
Optimal Rates for Community Estimation in the Weighted Stochastic Block
  Model
Optimal Rates for Community Estimation in the Weighted Stochastic Block ModelAnnals of Statistics (Ann. Stat.), 2017
Min Xu
Varun Jog
Po-Ling Loh
244
62
0
05 Jun 2017
The two-to-infinity norm and singular subspace geometry with
  applications to high-dimensional statistics
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statisticsAnnals of Statistics (Ann. Stat.), 2017
Joshua Cape
M. Tang
Carey E. Priebe
242
140
0
30 May 2017
Provable Estimation of the Number of Blocks in Block Models
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan
Purnamrita Sarkar
Xiuyuan Cheng
229
34
0
24 May 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics
Two-Sample Tests for Large Random Graphs Using Network Statistics
Debarghya Ghoshdastidar
Maurilio Gutzeit
Alexandra Carpentier
U. V. Luxburg
129
41
0
17 May 2017
Exploration of Large Networks with Covariates via Fast and Universal
  Latent Space Model Fitting
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting
Zhuang Ma
Zongming Ma
162
11
0
05 May 2017
Spectral clustering in the dynamic stochastic block model
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
185
79
0
02 May 2017
Spectral and matrix factorization methods for consistent community
  detection in multi-layer networks
Spectral and matrix factorization methods for consistent community detection in multi-layer networks
Subhadeep Paul
Yuguo Chen
210
95
0
24 Apr 2017
Testing Network Structure Using Relations Between Small Subgraph
  Probabilities
Testing Network Structure Using Relations Between Small Subgraph Probabilities
Chao Gao
John D. Lafferty
88
56
0
22 Apr 2017
Large-scale estimation of random graph models with local dependence
Large-scale estimation of random graph models with local dependence
Sergii Babkin
Jonathan Stewart
Xiaochen Long
M. Schweinberger
113
2
0
27 Mar 2017
Matched bipartite block model with covariates
Matched bipartite block model with covariates
Zahra S. Razaee
Arash A. Amini
Jingyi Jessica Li
163
24
0
15 Mar 2017
Uniform estimation in stochastic block models is slow
Uniform estimation in stochastic block models is slow
I. Castillo
Peter Orbanz
180
1
0
09 Mar 2017
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
216
16
0
24 Feb 2017
On Consistency of Compressive Spectral Clustering
On Consistency of Compressive Spectral ClusteringInternational Symposium on Information Theory (ISIT), 2017
Muni Sreenivas Pydi
Ambedkar Dukkipati
130
1
0
12 Feb 2017
Network cross-validation by edge sampling
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
184
176
0
14 Dec 2016
Statistical and Computational Guarantees of Lloyd's Algorithm and its
  Variants
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants
Yu Lu
Harrison H. Zhou
408
119
0
07 Dec 2016
Node Embedding via Word Embedding for Network Community Discovery
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding
Christy Lin
Prakash Ishwar
136
17
0
09 Nov 2016
Community detection with nodal information
Community detection with nodal information
Haolei Weng
Yang Feng
171
32
0
31 Oct 2016
Robust Spectral Detection of Global Structures in the Data by Learning a
  Regularization
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Pan Zhang
87
12
0
09 Sep 2016
Bayesian Community Detection
Bayesian Community DetectionBayesian Analysis (BA), 2016
S. V. D. Pas
A. van der Vaart
175
11
0
15 Aug 2016
Limit theorems for eigenvectors of the normalized Laplacian for random
  graphs
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
M. Tang
Carey E. Priebe
107
103
0
28 Jul 2016
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
201
145
0
24 Jul 2016
Covariate Regularized Community Detection in Sparse Graphs
Covariate Regularized Community Detection in Sparse GraphsJournal of the American Statistical Association (JASA), 2016
Bowei Yan
Purnamrita Sarkar
212
59
0
10 Jul 2016
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
On Mixed Memberships and Symmetric Nonnegative Matrix FactorizationsInternational Conference on Machine Learning (ICML), 2016
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
201
51
0
01 Jul 2016
PECOK: a convex optimization approach to variable clustering
PECOK: a convex optimization approach to variable clustering
F. Bunea
Christophe Giraud
Martin Royer
Nicolas Verzélen
122
19
0
16 Jun 2016
On clustering network-valued data
On clustering network-valued dataNeural Information Processing Systems (NeurIPS), 2016
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Lizhen Lin
87
43
0
08 Jun 2016
Orthogonal symmetric non-negative matrix factorization under the
  stochastic block model
Orthogonal symmetric non-negative matrix factorization under the stochastic block model
Subhadeep Paul
Yuguo Chen
74
10
0
17 May 2016
Rate-Optimal Perturbation Bounds for Singular Subspaces with
  Applications to High-Dimensional Statistics
Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Statistics
T. Tony Cai
Anru R. Zhang
284
170
0
02 May 2016
The Kato--Temple inequality and eigenvalue concentration with
  applications to graph inference
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference
Joshua Cape
M. Tang
Carey E. Priebe
164
7
0
19 Mar 2016
Exact Clustering of Weighted Graphs via Semidefinite Programming
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen
Brendan P. W. Ames
276
2
0
16 Mar 2016
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling
  Techniques
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
Debarghya Ghoshdastidar
Ambedkar Dukkipati
330
49
0
21 Feb 2016
Compressive Spectral Clustering
Compressive Spectral Clustering
Nicolas M Tremblay
Gilles Puy
Remi Gribonval
P. Vandergheynst
212
115
0
05 Feb 2016
An Impossibility Result for Reconstruction in a Degree-Corrected
  Planted-Partition Model
An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model
Lennart Gulikers
Marc Lelarge
Laurent Massoulié
188
10
0
02 Nov 2015
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphsAnnals of Statistics (Ann. Stat.), 2015
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
232
25
0
26 Aug 2015
Model Assisted Variable Clustering: Minimax-optimal Recovery and
  Algorithms
Model Assisted Variable Clustering: Minimax-optimal Recovery and Algorithms
F. Bunea
Christophe Giraud
Xi Luo
Martin Royer
Nicolas Verzélen
228
9
0
08 Aug 2015
A semidefinite program for unbalanced multisection in the stochastic
  block model
A semidefinite program for unbalanced multisection in the stochastic block modelInternational Conference on Sampling Theory and Applications (SampTA), 2015
William Perry
Alexander S. Wein
295
51
0
20 Jul 2015
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
611
192
0
19 Jul 2015
A spectral method for community detection in moderately-sparse
  degree-corrected stochastic block models
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models
Lennart Gulikers
Marc Lelarge
Laurent Massoulié
257
63
0
29 Jun 2015
A Spectral Algorithm with Additive Clustering for the Recovery of
  Overlapping Communities in Networks
A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in NetworksInternational Conference on Algorithmic Learning Theory (ALT), 2015
E. Kaufmann
Thomas Bonald
Marc Lelarge
140
26
0
12 Jun 2015
Concentration and regularization of random graphs
Concentration and regularization of random graphs
Can M. Le
Elizaveta Levina
Roman Vershynin
185
161
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
544
239
0
14 May 2015
Consistency of Spectral Hypergraph Partitioning under Planted Partition
  Model
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model
Debarghya Ghoshdastidar
Ambedkar Dukkipati
238
94
0
07 May 2015
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