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A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models

A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models

Jing Lei
Lingxue Zhu
ArXiv (abs)PDFHTML

Papers citing "A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models"

7 / 7 papers shown
Title
On consistency of constrained spectral clustering under representation-aware stochastic block model
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
87
1
0
03 Mar 2022
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Shubham Gupta
Ambedkar Dukkipati
66
9
0
08 May 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
171
173
0
15 Dec 2020
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphs
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
136
25
0
26 Aug 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
382
235
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
98
93
0
07 May 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
151
185
0
16 Dec 2014