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Provable Estimation of the Number of Blocks in Block Models

Provable Estimation of the Number of Blocks in Block Models

24 May 2017
Bowei Yan
Purnamrita Sarkar
Xiuyuan Cheng
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Papers citing "Provable Estimation of the Number of Blocks in Block Models"

19 / 19 papers shown
Title
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic
  Block Models with Constant Correlation
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
Joonhyuk Yang
Dongpil Shin
Hye Won Chung
17
3
0
31 May 2023
Improved Representation Learning Through Tensorized Autoencoders
Improved Representation Learning Through Tensorized Autoencoders
P. Esser
Satyaki Mukherjee
Mahalakshmi Sabanayagam
D. Ghoshdastidar
SSL
GNN
OOD
DRL
36
0
0
02 Dec 2022
Estimation and inference for stochastic blockmodels
Estimation and inference for stochastic blockmodels
Koen Jochmans
11
0
0
27 Jan 2022
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Mahalakshmi Sabanayagam
L. C. Vankadara
D. Ghoshdastidar
22
5
0
06 Oct 2021
Network Estimation by Mixing: Adaptivity and More
Network Estimation by Mixing: Adaptivity and More
Tianxi Li
Can M. Le
11
5
0
05 Jun 2021
Joint Community Detection and Rotational Synchronization via
  Semidefinite Programming
Joint Community Detection and Rotational Synchronization via Semidefinite Programming
Yifeng Fan
Y. Khoo
Zhizhen Zhao
13
5
0
13 May 2021
Adjusted chi-square test for degree-corrected block models
Adjusted chi-square test for degree-corrected block models
Linfan Zhang
Arash A. Amini
13
5
0
30 Dec 2020
Near-Optimal Comparison Based Clustering
Near-Optimal Comparison Based Clustering
Michaël Perrot
P. Esser
D. Ghoshdastidar
11
12
0
08 Oct 2020
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models
  with Outliers
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek Srivastava
Purnamrita Sarkar
G. A. Hanasusanto
21
18
0
16 Dec 2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems
A Unified Framework for Tuning Hyperparameters in Clustering Problems
Xinjie Fan
Yuguang Yue
Purnamrita Sarkar
Y. X. R. Wang
14
2
0
17 Oct 2019
Latent Simplex Position Model: High Dimensional Multi-view Clustering
  with Uncertainty Quantification
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification
L. Duan
14
9
0
21 Mar 2019
Diffusion $K$-means clustering on manifolds: provable exact recovery via
  semidefinite relaxations
Diffusion KKK-means clustering on manifolds: provable exact recovery via semidefinite relaxations
Xiaohui Chen
Yun Yang
24
16
0
11 Mar 2019
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
9
50
0
30 Sep 2018
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation:
  A Performance Guarantee for Spectral Clustering
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering
Shuyang Ling
Thomas Strohmer
17
19
0
29 Jun 2018
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
13
12
0
18 Aug 2017
Covariate Regularized Community Detection in Sparse Graphs
Covariate Regularized Community Detection in Sparse Graphs
Bowei Yan
Purnamrita Sarkar
18
53
0
10 Jul 2016
Exact Clustering of Weighted Graphs via Semidefinite Programming
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen
Brendan P. W. Ames
16
4
0
16 Mar 2016
Estimating the number of communities in networks by spectral methods
Estimating the number of communities in networks by spectral methods
Can M. Le
Elizaveta Levina
65
21
0
03 Jul 2015
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
92
0
0
11 Oct 2012
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