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Clustering in Partially Labeled Stochastic Block Models via Total
  Variation Minimization
v1v2 (latest)

Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization

3 November 2019
A. Jung
ArXiv (abs)PDFHTML

Papers citing "Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization"

6 / 6 papers shown
Title
Semi-supervised Learning in Network-Structured Data via Total Variation
  Minimization
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
A. Jung
A. Hero III
Alexandru Mara
Saeed Jahromi
Ayelet Heimowitz
Yonina C. Eldar
58
31
0
28 Jan 2019
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
314
235
0
14 May 2015
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
168
1,154
0
07 Jan 2015
Phase transitions in semisupervised clustering of sparse networks
Phase transitions in semisupervised clustering of sparse networks
Pan Zhang
Cristopher Moore
Lenka Zdeborová
71
50
0
30 Apr 2014
Pseudo-likelihood methods for community detection in large sparse
  networks
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini
Aiyou Chen
Peter J. Bickel
Elizaveta Levina
218
408
0
10 Jul 2012
Communities in Networks
Communities in Networks
M. A. Porter
J. Onnela
P. Mucha
GNN
135
1,074
0
22 Feb 2009
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