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Minimax Rates of Community Detection in Stochastic Block Models

Minimax Rates of Community Detection in Stochastic Block Models

19 July 2015
A. Zhang
Harrison H. Zhou
ArXivPDFHTML

Papers citing "Minimax Rates of Community Detection in Stochastic Block Models"

50 / 106 papers shown
Title
Change Point Estimation in a Dynamic Stochastic Block Model
Change Point Estimation in a Dynamic Stochastic Block Model
M. Bhattacharjee
Moulinath Banerjee
George Michailidis
31
47
0
07 Dec 2018
Two-sample Test of Community Memberships of Weighted Stochastic Block
  Models
Two-sample Test of Community Memberships of Weighted Stochastic Block Models
Yezheng Li
Hongzhe Li
14
16
0
30 Nov 2018
Testing Changes in Communities for the Stochastic Block Model
Testing Changes in Communities for the Stochastic Block Model
Aditya Gangrade
Praveen Venkatesh
B. Nazer
Venkatesh Saligrama
26
3
0
29 Nov 2018
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral
  Algorithm
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm
Sam Cole
Yizhe Zhu
14
27
0
16 Nov 2018
Minimax Rates in Network Analysis: Graphon Estimation, Community
  Detection and Hypothesis Testing
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Chao Gao
Zongming Ma
24
34
0
14 Nov 2018
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Bumeng Zhuo
Chao Gao
37
5
0
06 Nov 2018
Asymptotic uncertainty quantification for communities in sparse planted
  bi-section models
Asymptotic uncertainty quantification for communities in sparse planted bi-section models
B. Kleijn
J. van Waaij
72
0
0
22 Oct 2018
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
17
50
0
30 Sep 2018
Recovering a Single Community with Side Information
Recovering a Single Community with Side Information
H. Saad
Aria Nosratinia
16
13
0
05 Sep 2018
A Survey on Theoretical Advances of Community Detection in Networks
A Survey on Theoretical Advances of Community Detection in Networks
Yunpeng Zhao
13
43
0
26 Aug 2018
A theory of maximum likelihood for weighted infection graphs
A theory of maximum likelihood for weighted infection graphs
Justin Khim
Po-Ling Loh
11
9
0
13 Jun 2018
Spectral Clustering for Multiple Sparse Networks: I
Spectral Clustering for Multiple Sparse Networks: I
Sharmodeep Bhattacharyya
Sabyasachi Chatterjee
30
40
0
27 May 2018
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Kwangjun Ahn
Kangwook Lee
Changho Suh
24
62
0
23 May 2018
Distribution-Free, Size Adaptive Submatrix Detection with Acceleration
Distribution-Free, Size Adaptive Submatrix Detection with Acceleration
Yuchao Liu
Jiaqi Guo
23
2
0
29 Apr 2018
Optimal Bipartite Network Clustering
Optimal Bipartite Network Clustering
Zhixin Zhou
Arash A. Amini
25
27
0
15 Mar 2018
On the Minimax Misclassification Ratio of Hypergraph Community Detection
On the Minimax Misclassification Ratio of Hypergraph Community Detection
Eli Chien
Chung-Yi Lin
I-Hsiang Wang
18
38
0
03 Feb 2018
Phase Transitions in Approximate Ranking
Phase Transitions in Approximate Ranking
Chao Gao
26
5
0
30 Nov 2017
Theoretical and Computational Guarantees of Mean Field Variational
  Inference for Community Detection
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
A. Zhang
Harrison H. Zhou
22
64
0
30 Oct 2017
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
32
249
0
27 Sep 2017
A Sharp Lower Bound for Mixed-membership Estimation
A Sharp Lower Bound for Mixed-membership Estimation
Jiashun Jin
Z. Ke
17
11
0
17 Sep 2017
Weighted Message Passing and Minimum Energy Flow for Heterogeneous
  Stochastic Block Models with Side Information
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
21
9
0
12 Sep 2017
Community Recovery in Hypergraphs
Community Recovery in Hypergraphs
Kwangjun Ahn
Kangwook Lee
Changho Suh
24
33
0
12 Sep 2017
Network Essence: PageRank Completion and Centrality-Conforming Markov
  Chains
Network Essence: PageRank Completion and Centrality-Conforming Markov Chains
S. Teng
27
5
0
25 Aug 2017
Optimal Rates for Community Estimation in the Weighted Stochastic Block
  Model
Optimal Rates for Community Estimation in the Weighted Stochastic Block Model
Min Xu
Varun Jog
Po-Ling Loh
25
56
0
05 Jun 2017
Exponential error rates of SDP for block models: Beyond Grothendieck's
  inequality
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality
Yingjie Fei
Yudong Chen
30
35
0
23 May 2017
Optimal hypothesis testing for stochastic block models with growing
  degrees
Optimal hypothesis testing for stochastic block models with growing degrees
Debapratim Banerjee
Zongming Ma
22
57
0
15 May 2017
Testing Network Structure Using Relations Between Small Subgraph
  Probabilities
Testing Network Structure Using Relations Between Small Subgraph Probabilities
Chao Gao
John D. Lafferty
14
53
0
22 Apr 2017
Uniform estimation in stochastic block models is slow
Uniform estimation in stochastic block models is slow
I. Castillo
Peter Orbanz
19
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
49
15
0
24 Feb 2017
Network classification with applications to brain connectomics
Network classification with applications to brain connectomics
Jesús D Arroyo Relión
Daniel A Kessler
Elizaveta Levina
S. Taylor
21
74
0
27 Jan 2017
Four lectures on probabilistic methods for data science
Four lectures on probabilistic methods for data science
Roman Vershynin
14
25
0
20 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
30
108
0
07 Dec 2016
A Semidefinite Program for Structured Blockmodels
A Semidefinite Program for Structured Blockmodels
David S. Choi
23
0
0
16 Nov 2016
Corrected Bayesian information criterion for stochastic block models
Corrected Bayesian information criterion for stochastic block models
Jian-bo Hu
H. Qin
T. Yan
Yunpeng Zhao
21
6
0
04 Nov 2016
Community detection with nodal information
Community detection with nodal information
Haolei Weng
Yang Feng
19
30
0
31 Oct 2016
Bayesian Community Detection
Bayesian Community Detection
S. V. D. Pas
A. van der Vaart
21
11
0
15 Aug 2016
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
19
136
0
24 Jul 2016
Dynamic network models and graphon estimation
Dynamic network models and graphon estimation
Marianna Pensky
43
53
0
03 Jul 2016
Inference via Message Passing on Partially Labeled Stochastic Block
  Models
Inference via Message Passing on Partially Labeled Stochastic Block Models
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
8
22
0
22 Mar 2016
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
21
73
0
25 Feb 2016
Recovering Structured Probability Matrices
Recovering Structured Probability Matrices
Qingqing Huang
Sham Kakade
Weihao Kong
Gregory Valiant
27
12
0
21 Feb 2016
Partial Recovery Bounds for the Sparse Stochastic Block Model
Partial Recovery Bounds for the Sparse Stochastic Block Model
Jonathan Scarlett
V. Cevher
19
2
0
02 Feb 2016
Convexified Modularity Maximization for Degree-corrected Stochastic
  Block Models
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
Yudong Chen
Xiaodong Li
Jiaming Xu
24
114
0
28 Dec 2015
Relative Density and Exact Recovery in Heterogeneous Stochastic Block
  Models
Relative Density and Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali
Q. Han
Ioana Dumitriu
Maryam Fazel
33
7
0
15 Dec 2015
Learning Communities in the Presence of Errors
Learning Communities in the Presence of Errors
K. Makarychev
Yury Makarychev
Aravindan Vijayaraghavan
19
32
0
10 Nov 2015
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Seyoung Yun
Alexandre Proutière
14
76
0
20 Oct 2015
A framework for statistical network modeling
A framework for statistical network modeling
Harry Crane
Walter Dempsey
17
38
0
28 Sep 2015
Information-theoretic bounds for exact recovery in weighted stochastic
  block models using the Renyi divergence
Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence
Varun Jog
Po-Ling Loh
15
63
0
21 Sep 2015
Density Evolution in the Degree-correlated Stochastic Block Model
Density Evolution in the Degree-correlated Stochastic Block Model
Elchanan Mossel
Jiaming Xu
17
36
0
10 Sep 2015
Local Algorithms for Block Models with Side Information
Local Algorithms for Block Models with Side Information
Elchanan Mossel
Jiaming Xu
38
49
0
10 Aug 2015
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