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Exact Clustering in Tensor Block Model: Statistical Optimality and
  Computational Limit
v1v2v3v4 (latest)

Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit

18 December 2020
Rungang Han
Yuetian Luo
Miaoyan Wang
Anru R. Zhang
ArXiv (abs)PDFHTMLGithub

Papers citing "Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit"

23 / 23 papers shown
Simultaneous estimation of connectivity and dimensionality in samples of networks
Simultaneous estimation of connectivity and dimensionality in samples of networksJournal of Computational And Graphical Statistics (JCGS), 2025
Wenlong Jiang
Chris McKennan
Jesús Arroyo
Joshua Cape
152
0
0
17 Aug 2025
Perfect Clustering in Nonuniform Hypergraphs
Perfect Clustering in Nonuniform Hypergraphs
Ga-Ming Angus Chan
Zachary Lubberts
GNN
342
0
0
11 Apr 2025
Tensor Methods in High Dimensional Data Analysis: Opportunities and
  Challenges
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy
Dong Xia
Ming Yuan
AI4CE
323
6
0
28 May 2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelInternational Conference on Machine Learning (ICML), 2024
Chenyin Gao
Zhiming Zhang
Shu Yang
279
4
0
18 May 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Guillaume Braun
Masashi Sugiyama
216
0
0
29 Feb 2024
Signed Diverse Multiplex Networks: Clustering and Inference
Signed Diverse Multiplex Networks: Clustering and Inference
Marianna Pensky
353
8
0
14 Feb 2024
Mixture of multilayer stochastic block models for multiview clustering
Mixture of multilayer stochastic block models for multiview clustering
Kylliann De Santiago
Marie Szafranski
Christophe Ambroise
280
1
0
09 Jan 2024
Computational and Statistical Thresholds in Multi-layer Stochastic Block
  Models
Computational and Statistical Thresholds in Multi-layer Stochastic Block ModelsAnnals of Statistics (Ann. Stat.), 2023
Jing Lei
Anru R. Zhang
Zihan Zhu
261
10
0
13 Nov 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance ModelJournal of The Royal Statistical Society Series B-statistical Methodology (JRSSB), 2023
Runshi Tang
M. Yuan
Anru R. Zhang
290
4
0
02 Jul 2023
Statistical and computational rates in high rank tensor estimation
Statistical and computational rates in high rank tensor estimation
Chanwoo Lee
Miaoyan Wang
404
2
0
08 Apr 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
  heteroskedastic PCA
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCAAnnals of Statistics (Ann. Stat.), 2023
Yuchen Zhou
Yuxin Chen
373
11
0
10 Mar 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
An Zhang
446
12
0
23 Jan 2023
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Zhongyuan Lyu
Dong Xia
496
4
0
11 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayAnnals of Statistics (Ann. Stat.), 2022
Yuetian Luo
Anru R. Zhang
371
28
0
17 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model
Sparse Subspace Clustering in Diverse Multiplex Network ModelJournal of Multivariate Analysis (J. Multivar. Anal.), 2022
M. Noroozi
Marianna Pensky
279
11
0
15 Jun 2022
Leave-one-out Singular Subspace Perturbation Analysis for Spectral
  Clustering
Leave-one-out Singular Subspace Perturbation Analysis for Spectral ClusteringAnnals of Statistics (Ann. Stat.), 2022
A. Zhang
Harrison H. Zhou
263
25
0
30 May 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power MethodInformation and Inference A Journal of the IMA (JIII), 2022
Guillaume Braun
Hemant Tyagi
367
6
0
24 May 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Multiway Spherical Clustering via Degree-Corrected Tensor Block ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Jiaxin Hu
Miaoyan Wang
311
8
0
19 Jan 2022
An iterative clustering algorithm for the Contextual Stochastic Block
  Model with optimality guarantees
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guaranteesInternational Conference on Machine Learning (ICML), 2021
Guillaume Braun
Hemant Tyagi
C. Biernacki
431
16
0
20 Dec 2021
Guaranteed Functional Tensor Singular Value Decomposition
Guaranteed Functional Tensor Singular Value DecompositionJournal of the American Statistical Association (JASA), 2021
Rungang Han
Pixu Shi
Anru R. Zhang
456
33
0
09 Aug 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical
  Optimality and Second-Order Convergence
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order ConvergenceJournal of machine learning research (JMLR), 2021
Yuetian Luo
Anru R. Zhang
510
27
0
24 Apr 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal IterationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
449
26
0
06 Oct 2020
Biclustering with Alternating K-Means
Biclustering with Alternating K-Means
Nicolas Fraiman
Zichao Li
339
4
0
09 Sep 2020
1
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