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Recovering communities in the general stochastic block model without
  knowing the parameters

Recovering communities in the general stochastic block model without knowing the parameters

Neural Information Processing Systems (NeurIPS), 2015
11 June 2015
Emmanuel Abbe
Colin Sandon
ArXiv (abs)PDFHTML

Papers citing "Recovering communities in the general stochastic block model without knowing the parameters"

43 / 43 papers shown
Title
Near-Optimal Clustering in Mixture of Markov Chains
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee
Yassir Jedra
Alexandre Proutière
Se-Young Yun
206
1
0
02 Jun 2025
Community and hyperedge inference in multiple hypergraphs
Community and hyperedge inference in multiple hypergraphs
Li Ni
Ziqi Deng
Lin Mu
Lei Zhang
Wenjian Luo
Yujiao Shi
131
0
0
08 May 2025
Multi-View Stochastic Block Models
Multi-View Stochastic Block ModelsInternational Conference on Machine Learning (ICML), 2024
Vincent Cohen-Addad
Tommaso dÓrsi
Silvio Lattanzi
Rajai Nasser
96
1
0
07 Jun 2024
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?Journal of the American Statistical Association (JASA), 2023
Maximilien Dreveton
Daichi Kuroda
Matthias Grossglauser
Patrick Thiran
77
2
0
01 Jun 2023
Semi-supervised Local Cluster Extraction by Compressive Sensing
Semi-supervised Local Cluster Extraction by Compressive SensingInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Zhaiming Shen
Ming-Jun Lai
Sheng Li
71
4
0
20 Nov 2022
Community Detection in the Hypergraph SBM: Exact Recovery Given the
  Similarity Matrix
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix
Julia Gaudio
Nirmit Joshi
189
5
0
23 Aug 2022
Community Recovery in the Geometric Block Model
Community Recovery in the Geometric Block ModelJournal of machine learning research (JMLR), 2022
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
118
8
0
22 Jun 2022
A Compressed Sensing Based Least Squares Approach to Semi-supervised
  Local Cluster Extraction
A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster ExtractionJournal of Scientific Computing (J. Sci. Comput.), 2022
Ming-Jun Lai
Zhaiming Shen
130
6
0
07 Feb 2022
Misspecification Tests on Models of Random Graphs
Misspecification Tests on Models of Random Graphs
D. Duarte
Rafael Honório Pereira Alves
61
0
0
03 Feb 2022
Exact Recovery in the General Hypergraph Stochastic Block Model
Exact Recovery in the General Hypergraph Stochastic Block ModelIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Q. Zhang
Vincent Y. F. Tan
184
24
0
11 May 2021
Biclustering and Boolean Matrix Factorization in Data Streams
Biclustering and Boolean Matrix Factorization in Data StreamsProceedings of the VLDB Endowment (PVLDB), 2020
S. Neumann
Pauli Miettinen
165
6
0
05 Dec 2020
Learning Sparse Graphons and the Generalized Kesten-Stigum Threshold
Learning Sparse Graphons and the Generalized Kesten-Stigum ThresholdAnnals of Statistics (Ann. Stat.), 2020
Emmanuel Abbe
Shuangping Li
Allan Sly
114
5
0
13 Jun 2020
A Unified Framework for Tuning Hyperparameters in Clustering Problems
A Unified Framework for Tuning Hyperparameters in Clustering ProblemsStatistica sinica (Stat. Sinica), 2019
Xinjie Fan
Yuguang Yue
Purnamrita Sarkar
Y. X. R. Wang
192
2
0
17 Oct 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ME-Net: Towards Effective Adversarial Robustness with Matrix EstimationInternational Conference on Machine Learning (ICML), 2019
Yuzhe Yang
Guo Zhang
Dina Katabi
Zhi Xu
AAML
130
173
0
28 May 2019
Achieving the Bayes Error Rate in Synchronization and Block Models by
  SDP, Robustly
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
Yingjie Fei
Yudong Chen
329
24
0
21 Apr 2019
On Robustness of Principal Component Regression
On Robustness of Principal Component RegressionNeural Information Processing Systems (NeurIPS), 2019
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
525
83
0
28 Feb 2019
Revealing Network Structure, Confidentially: Improved Rates for
  Node-Private Graphon Estimation
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
130
46
0
04 Oct 2018
Stochastic Block Model for Hypergraphs: Statistical limits and a
  semidefinite programming approach
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
Chiheon Kim
Afonso S. Bandeira
M. Goemans
132
55
0
08 Jul 2018
Found Graph Data and Planted Vertex Covers
Found Graph Data and Planted Vertex Covers
Austin R. Benson
Jon M. Kleinberg
GNN
89
13
0
03 May 2018
Block-Structure Based Time-Series Models For Graph Sequences
Block-Structure Based Time-Series Models For Graph Sequences
Mehrnaz Amjadi
Theja Tulabandhula
210
3
0
24 Apr 2018
Model Agnostic Time Series Analysis via Matrix Estimation
Model Agnostic Time Series Analysis via Matrix EstimationProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2018
Anish Agarwal
M. Amjad
Devavrat Shah
Dennis Shen
AI4TS
252
37
0
25 Feb 2018
Clustering in Block Markov Chains
Clustering in Block Markov ChainsAnnals of Statistics (Ann. Stat.), 2017
J. Sanders
Alexandre Proutiere
Seyoung Yun
91
14
0
26 Dec 2017
Iterative Collaborative Filtering for Sparse Matrix Estimation
Iterative Collaborative Filtering for Sparse Matrix Estimation
C. Borgs
J. Chayes
Devavrat Shah
Christina E. Lee
453
40
0
03 Dec 2017
The Geometric Block Model
The Geometric Block Model
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
125
28
0
16 Sep 2017
Network Essence: PageRank Completion and Centrality-Conforming Markov
  Chains
Network Essence: PageRank Completion and Centrality-Conforming Markov Chains
S. Teng
81
5
0
25 Aug 2017
Query Complexity of Clustering with Side Information
Query Complexity of Clustering with Side Information
A. Mazumdar
B. Saha
133
49
0
23 Jun 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
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
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
381
37
0
23 May 2017
Community Detection in Hypergraphs, Spiked Tensor Models, and
  Sum-of-Squares
Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares
Chiheon Kim
Afonso S. Bandeira
M. Goemans
135
56
0
08 May 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
366
1,264
0
29 Mar 2017
Reducing Crowdsourcing to Graphon Estimation, Statistically
Reducing Crowdsourcing to Graphon Estimation, Statistically
Devavrat Shah
Christina E. Lee
183
24
0
23 Mar 2017
Hidden Community Detection in Social Networks
Hidden Community Detection in Social NetworksInformation Sciences (Inf. Sci.), 2017
Kun He
Yingru Li
S. Soundarajan
John E. Hopcroft
GNN
85
109
0
24 Feb 2017
When is Nontrivial Estimation Possible for Graphons and Stochastic Block
  Models?
When is Nontrivial Estimation Possible for Graphons and Stochastic Block Models?
Audra McMillan
Adam D. Smith
71
3
0
07 Apr 2016
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
249
80
0
25 Feb 2016
Partial Recovery Bounds for the Sparse Stochastic Block Model
Partial Recovery Bounds for the Sparse Stochastic Block Model
Jonathan Scarlett
Volkan Cevher
103
2
0
02 Feb 2016
Detection in the stochastic block model with multiple clusters: proof of
  the achievability conjectures, acyclic BP, and the information-computation
  gap
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap
Emmanuel Abbe
Colin Sandon
304
122
0
30 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
107
7
0
15 Dec 2015
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Seyoung Yun
Alexandre Proutiere
251
82
0
20 Oct 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
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
Private Graphon Estimation for Sparse Graphs
Private Graphon Estimation for Sparse Graphs
C. Borgs
J. Chayes
Adam D. Smith
237
88
0
19 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
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