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1807.07547
Cited By
Partial recovery bounds for clustering with the relaxed
K
K
K
means
19 July 2018
Christophe Giraud
Nicolas Verzélen
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Papers citing
"Partial recovery bounds for clustering with the relaxed $K$means"
27 / 27 papers shown
Title
Iterative Algorithm for Discrete Structure Recovery
Chao Gao
A. Zhang
470
31
0
04 Nov 2019
Hanson-Wright inequality in Hilbert spaces with application to
K
K
K
-means clustering for non-Euclidean data
Xiaohui Chen
Yun Yang
90
28
0
26 Oct 2018
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
Pravesh Kothari
Jacob Steinhardt
96
61
0
20 Nov 2017
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
O. Regev
Aravindan Vijayaraghavan
85
74
0
31 Oct 2017
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
Yingjie Fei
Yudong Chen
298
35
0
23 May 2017
Adaptive Clustering through Semidefinite Programming
Martin Royer
112
30
0
18 May 2017
Community Detection and Stochastic Block Models
Emmanuel Abbe
136
1,198
0
29 Mar 2017
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
Yu Lu
Harrison H. Zhou
266
109
0
07 Dec 2016
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering
Stéphane Chrétien
Clément Dombry
A. Faivre
77
10
0
29 Jun 2016
PECOK: a convex optimization approach to variable clustering
F. Bunea
Christophe Giraud
Martin Royer
Nicolas Verzélen
71
19
0
16 Jun 2016
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
Bruce Hajek
Yihong Wu
Jiaming Xu
125
32
0
20 Feb 2016
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?
Ankur Moitra
William Perry
Alexander S. Wein
111
83
0
04 Nov 2015
A semidefinite program for unbalanced multisection in the stochastic block model
William Perry
Alexander S. Wein
133
50
0
20 Jul 2015
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
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
314
235
0
14 May 2015
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
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
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
Yudong Chen
Jiaming Xu
235
216
0
06 Feb 2014
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
Martin Azizyan
Aarti Singh
Larry A. Wasserman
102
64
0
09 Jun 2013
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