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Power Iteration for Tensor PCA

Power Iteration for Tensor PCA

Journal of machine learning research (JMLR), 2020
26 December 2020
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
ArXiv (abs)PDFHTML

Papers citing "Power Iteration for Tensor PCA"

10 / 10 papers shown
Statistical Limits in Random Tensors with Multiple Correlated Spikes
Statistical Limits in Random Tensors with Multiple Correlated Spikes
Yang Qi
Alexis Decurninge
263
0
0
05 Mar 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
Hugo Lebeau
Florent Chatelain
Romain Couillet
490
4
0
05 Feb 2024
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCAJournal of machine learning research (JMLR), 2024
Yuchen Wu
Kangjie Zhou
500
5
0
02 Jan 2024
Topological complexity of spiked random polynomials and finite-rank
  spherical integrals
Topological complexity of spiked random polynomials and finite-rank spherical integrals
Vanessa Piccolo
185
2
0
19 Dec 2023
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
Abdalgader Abubaker
Mohammed Mahfoud
Merouane Debbah
362
2
0
11 Feb 2023
When Random Tensors meet Random Matrices
When Random Tensors meet Random MatricesThe Annals of Applied Probability (Ann. Appl. Probab.), 2021
Abdalgader Abubaker
M. Guillaud
Romain Couillet
353
17
0
23 Dec 2021
Selective Multiple Power Iteration: from Tensor PCA to gradient-based
  exploration of landscapes
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapesThe European Physical Journal Special Topics (EPJ ST), 2021
M. Ouerfelli
M. Tamaazousti
V. Rivasseau
243
7
0
23 Dec 2021
Long Random Matrices and Tensor Unfolding
Long Random Matrices and Tensor Unfolding
Gerard Ben Arous
Daniel Zhengyu Huang
Jiaoyang Huang
361
18
0
19 Oct 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
  Optimization
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian OptimizationJournal of the American Statistical Association (JASA), 2021
Jian-Feng Cai
Jingyang Li
Dong Xia
645
35
0
16 Mar 2021
Inference for Low-rank Tensors -- No Need to Debias
Inference for Low-rank Tensors -- No Need to DebiasAnnals of Statistics (Ann. Stat.), 2020
Dong Xia
Anru R. Zhang
Yuchen Zhou
481
25
0
29 Dec 2020
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