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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

6 February 2014
Yudong Chen
Jiaming Xu
ArXivPDFHTML

Papers citing "Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices"

41 / 41 papers shown
Title
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
23
3
0
08 Jan 2023
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
25
1
0
27 Oct 2022
Detecting Planted Partition in Sparse Multi-Layer Networks
Detecting Planted Partition in Sparse Multi-Layer Networks
Anirban Chatterjee
Sagnik Nandy
Ritwik Sadhu
26
1
0
15 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
27
0
0
24 May 2022
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
Inferring Hidden Structures in Random Graphs
Inferring Hidden Structures in Random Graphs
Wasim Huleihel
19
7
0
05 Oct 2021
Random Subgraph Detection Using Queries
Random Subgraph Detection Using Queries
Wasim Huleihel
A. Mazumdar
S. Pal
25
6
0
02 Oct 2021
Lattice partition recovery with dyadic CART
Lattice partition recovery with dyadic CART
Oscar Hernan Madrid Padilla
Yi Yu
Alessandro Rinaldo
21
4
0
27 May 2021
Semidefinite Programming for Community Detection with Side Information
Semidefinite Programming for Community Detection with Side Information
Mohammadjafar Esmaeili
H. Saad
Aria Nosratinia
34
9
0
06 May 2021
A Goodness-of-fit Test on the Number of Biclusters in a Relational Data
  Matrix
A Goodness-of-fit Test on the Number of Biclusters in a Relational Data Matrix
C. Watanabe
Taiji Suzuki
25
0
0
23 Feb 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
Jingkai Li
T. Schramm
19
62
0
13 Sep 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
35
44
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
29
86
0
16 May 2020
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
29
50
0
20 Feb 2019
Universality of Computational Lower Bounds for Submatrix Detection
Universality of Computational Lower Bounds for Submatrix Detection
Matthew Brennan
Guy Bresler
Wasim Huleihel
35
26
0
19 Feb 2019
Rank-one matrix estimation: analysis of algorithmic and information
  theoretic limits by the spatial coupling method
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method
Jean Barbier
M. Dia
N. Macris
Florent Krzakala
Lenka Zdeborová
28
24
0
06 Dec 2018
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral
  Algorithm
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm
Sam Cole
Yizhe Zhu
8
27
0
16 Nov 2018
Stochastic Block Model for Hypergraphs: Statistical limits and a
  semidefinite programming approach
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
Chiheon Kim
Afonso S. Bandeira
M. Goemans
12
53
0
08 Jul 2018
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
On the Estimation of Latent Distances Using Graph Distances
On the Estimation of Latent Distances Using Graph Distances
E. Arias-Castro
Antoine Channarond
Bruno Pelletier
Nicolas Verzélen
17
15
0
27 Apr 2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
36
142
0
28 Feb 2018
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
24
35
0
23 May 2017
Adaptive Clustering through Semidefinite Programming
Adaptive Clustering through Semidefinite Programming
Martin Royer
32
30
0
18 May 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics
Two-Sample Tests for Large Random Graphs Using Network Statistics
D. Ghoshdastidar
Maurilio Gutzeit
Alexandra Carpentier
U. V. Luxburg
30
39
0
17 May 2017
Community Detection in Hypergraphs, Spiked Tensor Models, and
  Sum-of-Squares
Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares
Chiheon Kim
Afonso S. Bandeira
M. Goemans
21
53
0
08 May 2017
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
21
166
0
08 Mar 2017
Bayesian Community Detection
Bayesian Community Detection
S. V. D. Pas
A. van der Vaart
21
11
0
15 Aug 2016
Information-theoretic bounds and phase transitions in clustering, sparse
  PCA, and submatrix localization
Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization
Jessica E. Banks
Cristopher Moore
Nicolas Verzélen
Roman Vershynin
Jiaming Xu
29
74
0
18 Jul 2016
The use of deep learning in image segmentation, classification and
  detection
The use of deep learning in image segmentation, classification and detection
Mihai-Sorin Badea
Iulian-Ionut Felea
L. Florea
C. Vertan
47
41
0
31 May 2016
Density Evolution in the Degree-correlated Stochastic Block Model
Density Evolution in the Degree-correlated Stochastic Block Model
Elchanan Mossel
Jiaming Xu
17
36
0
10 Sep 2015
Local Algorithms for Block Models with Side Information
Local Algorithms for Block Models with Side Information
Elchanan Mossel
Jiaming Xu
32
49
0
10 Aug 2015
Asymptotic Mutual Information for the Two-Groups Stochastic Block Model
Asymptotic Mutual Information for the Two-Groups Stochastic Block Model
Y. Deshpande
Emmanuel Abbe
Andrea Montanari
29
56
0
30 Jul 2015
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
34
185
0
19 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
43
136
0
26 Feb 2015
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden
  Submatrix Problems
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems
Y. Deshpande
Andrea Montanari
25
84
0
23 Feb 2015
Computational and Statistical Boundaries for Submatrix Localization in a
  Large Noisy Matrix
Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
34
61
0
06 Feb 2015
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming
Bruce Hajek
Yihong Wu
Jiaming Xu
58
249
0
24 Nov 2014
Statistical and computational trade-offs in estimation of sparse
  principal components
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
60
136
0
22 Aug 2014
Edge Label Inference in Generalized Stochastic Block Models: from
  Spectral Theory to Impossibility Results
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results
Jiaming Xu
Laurent Massoulié
Marc Lelarge
29
47
0
26 Jun 2014
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and
  Trade-offs
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs
Jiaming Xu
Rui Wu
Kai Zhu
Bruce Hajek
R. Srikant
Lei Ying
68
44
0
01 Oct 2013
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
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