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

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

18 December 2020
Rungang Han
Yuetian Luo
Miaoyan Wang
Anru R. Zhang
ArXivPDFHTML

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

14 / 14 papers shown
Title
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
50
2
0
28 May 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Guillaume Braun
Masashi Sugiyama
35
0
0
29 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
29
1
0
09 Jan 2024
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Runshi Tang
M. Yuan
Anru R. Zhang
43
3
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
30
1
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 PCA
Yuchen Zhou
Yuxin Chen
40
4
0
10 Mar 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
41
4
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
29
3
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 Interplay
Yuetian Luo
Anru R. Zhang
29
19
0
17 Jun 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
Guillaume Braun
Hemant Tyagi
25
5
0
24 May 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu
Miaoyan Wang
23
4
0
19 Jan 2022
Guaranteed Functional Tensor Singular Value Decomposition
Guaranteed Functional Tensor Singular Value Decomposition
Rungang Han
Pixu Shi
Anru R. Zhang
34
20
0
09 Aug 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
24
22
0
06 Oct 2020
Universality of the stochastic block model
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
27
30
0
11 Jun 2018
1