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Partial recovery bounds for clustering with the relaxed $K$means
v1v2v3 (latest)

Partial recovery bounds for clustering with the relaxed KKKmeans

19 July 2018
Christophe Giraud
Nicolas Verzélen
ArXiv (abs)PDFHTML

Papers citing "Partial recovery bounds for clustering with the relaxed $K$means"

27 / 27 papers shown
Title
Iterative Algorithm for Discrete Structure Recovery
Iterative Algorithm for Discrete Structure Recovery
Chao Gao
A. Zhang
473
31
0
04 Nov 2019
Hanson-Wright inequality in Hilbert spaces with application to $K$-means
  clustering for non-Euclidean data
Hanson-Wright inequality in Hilbert spaces with application to KKK-means clustering for non-Euclidean data
Xiaohui Chen
Yun Yang
95
28
0
26 Oct 2018
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
117
51
0
30 Sep 2018
Better Agnostic Clustering Via Relaxed Tensor Norms
Better Agnostic Clustering Via Relaxed Tensor Norms
Pravesh Kothari
Jacob Steinhardt
96
61
0
20 Nov 2017
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical
  Gaussians
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas
D. Kane
Alistair Stewart
107
147
0
20 Nov 2017
On Learning Mixtures of Well-Separated Gaussians
On Learning Mixtures of Well-Separated Gaussians
O. Regev
Aravindan Vijayaraghavan
85
74
0
31 Oct 2017
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
117
36
0
16 Oct 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
298
35
0
23 May 2017
Adaptive Clustering through Semidefinite Programming
Adaptive Clustering through Semidefinite Programming
Martin Royer
112
30
0
18 May 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
136
1,198
0
29 Mar 2017
Exact recovery in the Ising blockmodel
Exact recovery in the Ising blockmodel
Quentin Berthet
Philippe Rigollet
P. Srivastava
TPM
102
45
0
12 Dec 2016
Statistical and Computational Guarantees of Lloyd's Algorithm and its
  Variants
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants
Yu Lu
Harrison H. Zhou
268
109
0
07 Dec 2016
A Semi-Definite Programming approach to low dimensional embedding for
  unsupervised clustering
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering
Stéphane Chrétien
Clément Dombry
A. Faivre
82
10
0
29 Jun 2016
PECOK: a convex optimization approach to variable clustering
PECOK: a convex optimization approach to variable clustering
F. Bunea
Christophe Giraud
Martin Royer
Nicolas Verzélen
74
19
0
16 Jun 2016
Clustering subgaussian mixtures by semidefinite programming
Clustering subgaussian mixtures by semidefinite programming
D. Mixon
Soledad Villar
Rachel A. Ward
98
95
0
22 Feb 2016
Semidefinite Programs for Exact Recovery of a Hidden Community
Semidefinite Programs for Exact Recovery of a Hidden Community
Bruce Hajek
Yihong Wu
Jiaming Xu
125
32
0
20 Feb 2016
Convexified Modularity Maximization for Degree-corrected Stochastic
  Block Models
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
Yudong Chen
Xiaodong Li
Jiaming Xu
92
115
0
28 Dec 2015
How Robust are Reconstruction Thresholds for Community Detection?
How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra
William Perry
Alexander S. Wein
111
83
0
04 Nov 2015
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
136
50
0
20 Jul 2015
On the tightness of an SDP relaxation of k-means
On the tightness of an SDP relaxation of k-means
Takayuki Iguchi
D. Mixon
Jesse Peterson
Soledad Villar
92
33
0
18 May 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
314
235
0
14 May 2015
Community detection in sparse networks via Grothendieck's inequality
Community detection in sparse networks via Grothendieck's inequality
O. Guédon
Roman Vershynin
137
212
0
17 Nov 2014
Relax, no need to round: integrality of clustering formulations
Relax, no need to round: integrality of clustering formulations
Pranjal Awasthi
Afonso S. Bandeira
Moses Charikar
Ravishankar Krishnaswamy
Soledad Villar
Rachel A. Ward
130
114
0
18 Aug 2014
On semidefinite relaxations for the block model
On semidefinite relaxations for the block model
Arash A. Amini
Elizaveta Levina
148
165
0
21 Jun 2014
Statistical-Computational Tradeoffs in Planted Problems and Submatrix
  Localization with a Growing Number of Clusters and Submatrices
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
Yudong Chen
Jiaming Xu
235
216
0
06 Feb 2014
Consistency of spectral clustering in stochastic block models
Consistency of spectral clustering in stochastic block models
Jing Lei
Alessandro Rinaldo
185
607
0
07 Dec 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean
  Separation
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan
Aarti Singh
Larry A. Wasserman
102
64
0
09 Jun 2013
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