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On semidefinite relaxations for the block model

On semidefinite relaxations for the block model

21 June 2014
Arash A. Amini
Elizaveta Levina
ArXivPDFHTML

Papers citing "On semidefinite relaxations for the block model"

23 / 23 papers shown
Title
Partial Inference in Structured Prediction
Partial Inference in Structured Prediction
Chuyang Ke
Jean Honorio
21
0
0
06 Jun 2023
Community Detection with Known, Unknown, or Partially Known Auxiliary
  Latent Variables
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables
Mohammadjafar Esmaeili
Aria Nosratinia
20
3
0
08 Jan 2023
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares
  Clustering via Semidefinite Programming
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
V. Piccialli
A. M. Sudoso
16
3
0
19 Sep 2022
Semi-Supervised Clustering of Sparse Graphs: Crossing the
  Information-Theoretic Threshold
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
Jun Sheng
Thomas Strohmer
25
0
0
24 May 2022
Exact Community Recovery over Signed Graphs
Exact Community Recovery over Signed Graphs
Xiaolu Wang
Peng Wang
Anthony Man-Cho So
20
5
0
22 Feb 2022
Non-Convex Joint Community Detection and Group Synchronization via
  Generalized Power Method
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method
Sijin Chen
Xiwei Cheng
Anthony Man-Cho So
32
2
0
28 Dec 2021
A Worker-Task Specialization Model for Crowdsourcing: Efficient
  Inference and Fundamental Limits
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
51
3
0
19 Nov 2021
Semidefinite Programming for Community Detection with Side Information
Semidefinite Programming for Community Detection with Side Information
Mohammadjafar Esmaeili
H. Saad
Aria Nosratinia
31
9
0
06 May 2021
Spectral clustering via adaptive layer aggregation for multi-layer
  networks
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang
Haolei Weng
Yang Feng
28
21
0
07 Dec 2020
Overlapping community detection in networks via sparse spectral
  decomposition
Overlapping community detection in networks via sparse spectral decomposition
Jesús Arroyo
Elizaveta Levina
17
4
0
20 Sep 2020
Convex optimization for the densest subgraph and densest submatrix
  problems
Convex optimization for the densest subgraph and densest submatrix problems
Polina Bombina
Brendan P. W. Ames
32
9
0
05 Apr 2019
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
Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric P. Xing
Pradeep Ravikumar
16
29
0
12 Feb 2018
When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic
  Programming
When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic Programming
Xiaodong Li
Yang Li
Shuyang Ling
Thomas Strohmer
Ke Wei
24
36
0
16 Oct 2017
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
23
12
0
18 Aug 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
27
32
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
22
35
0
23 May 2017
A semidefinite program for unbalanced multisection in the stochastic
  block model
A semidefinite program for unbalanced multisection in the stochastic block model
William Perry
Alexander S. Wein
21
49
0
20 Jul 2015
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming:
  Extensions
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions
Bruce Hajek
Yihong Wu
Jiaming Xu
40
136
0
26 Feb 2015
Sparse random graphs: regularization and concentration of the Laplacian
Sparse random graphs: regularization and concentration of the Laplacian
Can M. Le
Elizaveta Levina
Roman Vershynin
39
56
0
10 Feb 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
35
180
0
16 Dec 2014
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
71
220
0
04 Jul 2012
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