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Nonconvex Low-Rank Tensor Completion from Noisy Data
v1v2 (latest)

Nonconvex Low-Rank Tensor Completion from Noisy Data

11 November 2019
Changxiao Cai
Gen Li
H. Vincent Poor
Yuxin Chen
ArXiv (abs)PDFHTML

Papers citing "Nonconvex Low-Rank Tensor Completion from Noisy Data"

30 / 30 papers shown
Title
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
Zhen Qin
Michael B. Wakin
Zhihui Zhu
7
0
0
19 Jun 2025
On Speeding Up Language Model Evaluation
On Speeding Up Language Model Evaluation
Jin Peng Zhou
Christian K. Belardi
Ruihan Wu
Travis Zhang
Carla P. Gomes
Wen Sun
Kilian Q. Weinberger
153
2
0
08 Jul 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
177
1
0
22 Jan 2024
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
156
1
0
02 Jan 2024
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
71
4
0
10 Mar 2023
A generalizable framework for low-rank tensor completion with numerical
  priors
A generalizable framework for low-rank tensor completion with numerical priors
Shi-Meng Yuan
Kaizhu Huang
61
3
0
12 Feb 2023
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan
Yizhe Zhu
62
21
0
14 Mar 2022
Causal Matrix Completion
Causal Matrix Completion
Anish Agarwal
M. Dahleh
Devavrat Shah
Dennis Shen
CML
457
54
0
30 Sep 2021
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
83
11
0
10 Aug 2021
Inference for Heteroskedastic PCA with Missing Data
Inference for Heteroskedastic PCA with Missing Data
Yuling Yan
Yuxin Chen
Jianqing Fan
122
19
0
26 Jul 2021
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
147
57
0
03 May 2021
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation
  from Incomplete Measurements
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
Tian Tong
Cong Ma
Ashley Prater-Bennette
Erin E. Tripp
Yuejie Chi
108
33
0
29 Apr 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 Convergence
Yuetian Luo
Anru R. Zhang
157
20
0
24 Apr 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
  Optimization
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
Jian-Feng Cai
Jingyang Li
Dong Xia
150
30
0
16 Mar 2021
Implicit Regularization in Tensor Factorization
Implicit Regularization in Tensor Factorization
Noam Razin
Asaf Maman
Nadav Cohen
75
49
0
19 Feb 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee
Miaoyan Wang
45
5
0
31 Jan 2021
Inference for Low-rank Tensors -- No Need to Debias
Inference for Low-rank Tensors -- No Need to Debias
Dong Xia
Anru R. Zhang
Yuchen Zhou
89
18
0
29 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
153
173
0
15 Dec 2020
Uncertainty quantification for nonconvex tensor completion: Confidence
  intervals, heteroscedasticity and optimality
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai
H. Vincent Poor
Yuxin Chen
118
23
0
15 Jun 2020
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
106
52
0
14 Jun 2020
Tensor Completion Made Practical
Tensor Completion Made Practical
Allen Liu
Ankur Moitra
50
33
0
04 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
81
156
0
13 May 2020
An Optimal Statistical and Computational Framework for Generalized
  Tensor Estimation
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
119
70
0
26 Feb 2020
Partially Observed Dynamic Tensor Response Regression
Partially Observed Dynamic Tensor Response Regression
Jie Zhou
W. Sun
Jingfei Zhang
Lexin Li
61
24
0
22 Feb 2020
Community Detection on Mixture Multi-layer Networks via Regularized
  Tensor Decomposition
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
Bing-Yi Jing
Ting Li
Zhongyuan Lyu
Dong Xia
84
68
0
10 Feb 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of
  Well-Separated Gaussians
The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians
Jeongyeol Kwon
Constantine Caramanis
48
5
0
02 Feb 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise,
  Outliers, and Missing Data
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Yuxin Chen
Jianqing Fan
Cong Ma
Yuling Yan
89
52
0
15 Jan 2020
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse
  Observations via Similarity Based Collaborative Filtering
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering
Devavrat Shah
Chao Yu
57
0
0
03 Aug 2019
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
75
427
0
25 Sep 2018
Nonconvex Matrix Factorization from Rank-One Measurements
Nonconvex Matrix Factorization from Rank-One Measurements
Yuanxin Li
Cong Ma
Yuxin Chen
Yuejie Chi
72
51
0
17 Feb 2018
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