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

Nonconvex Low-Rank Tensor Completion from Noisy Data

Neural Information Processing Systems (NeurIPS), 2019
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"

50 / 50 papers shown
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
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Michael B. Wakin
Zhihui Zhu
237
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Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
Jingyang Li
Jiuqian Shang
Yang Chen
279
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0
16 May 2025
Robust Low-rank Tensor Train Recovery
Robust Low-rank Tensor Train RecoveryIEEE Transactions on Signal Processing (IEEE TSP), 2024
Zhen Qin
Zhihui Zhu
341
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19 Oct 2024
On Speeding Up Language Model Evaluation
On Speeding Up Language Model Evaluation
Jin Peng Zhou
Christian K. Belardi
Ruihan Wu
Travis Zhang
Daniel Schwalbe-Koda
Wen Sun
Kilian Q. Weinberger
755
7
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08 Jul 2024
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
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18 May 2024
Conformalized Tensor Completion with Riemannian Optimization
Conformalized Tensor Completion with Riemannian Optimization
Hu Sun
Yang Chen
433
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01 May 2024
Tensor Completion via Integer Optimization
Tensor Completion via Integer Optimization
Xin Chen
S. Kudva
Yongzheng Dai
Anil Aswani
Chen Chen
268
0
0
06 Feb 2024
Multilinear Kernel Regression and Imputation via Manifold Learning
Multilinear Kernel Regression and Imputation via Manifold LearningIEEE Open Journal of Signal Processing (JOSP), 2024
D. Nguyen
Konstantinos Slavakis
287
5
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06 Feb 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient DescentIEEE Transactions on Signal Processing (IEEE TSP), 2024
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
475
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22 Jan 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Zhen Qin
M. Wakin
Zhihui Zhu
486
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05 Jan 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
522
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02 Jan 2024
Multi-dimensional Signal Recovery using Low-rank Deconvolution
Multi-dimensional Signal Recovery using Low-rank DeconvolutionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
David Reixach
297
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03 May 2023
A non-backtracking method for long matrix and tensor completion
A non-backtracking method for long matrix and tensor completionAnnual Conference Computational Learning Theory (COLT), 2023
Ludovic Stephan
Yizhe Zhu
809
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04 Apr 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
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Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCAAnnals of Statistics (Ann. Stat.), 2023
Yuchen Zhou
Yuxin Chen
373
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10 Mar 2023
A generalizable framework for low-rank tensor completion with numerical
  priors
A generalizable framework for low-rank tensor completion with numerical priorsPattern Recognition (Pattern Recogn.), 2023
Shi-Meng Yuan
Kaizhu Huang
378
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12 Feb 2023
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detectionIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Ludovic Stephan
Yizhe Zhu
376
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14 Mar 2022
Zero-Truncated Poisson Regression for Sparse Multiway Count Data
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Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False ZerosInformation and Inference A Journal of the IMA (JIII), 2022
Oscar López
Daniel M. Dunlavy
R. Lehoucq
326
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25 Jan 2022
Causal Matrix Completion
Causal Matrix Completion
Anish Agarwal
M. Dahleh
Devavrat Shah
Dennis Shen
CML
646
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30 Sep 2021
Provable Tensor-Train Format Tensor Completion by Riemannian
  Optimization
Provable Tensor-Train Format Tensor Completion by Riemannian OptimizationJournal of machine learning research (JMLR), 2021
Jian-Feng Cai
Jingyang Li
Dong Xia
339
40
0
27 Aug 2021
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Yuefeng Han
Cun-Hui Zhang
438
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10 Aug 2021
Inference for Heteroskedastic PCA with Missing Data
Inference for Heteroskedastic PCA with Missing DataAnnals of Statistics (Ann. Stat.), 2021
Yuling Yan
Yuxin Chen
Jianqing Fan
418
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26 Jul 2021
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural LayersInternational Conference on Learning Representations (ICLR), 2021
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
518
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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 MeasurementsJournal of machine learning research (JMLR), 2021
Tian Tong
Cong Ma
Ashley Prater-Bennette
Erin E. Tripp
Yuejie Chi
450
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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 ConvergenceJournal of machine learning research (JMLR), 2021
Yuetian Luo
Anru R. Zhang
510
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Jointly Modeling and Clustering Tensors in High Dimensions
Jointly Modeling and Clustering Tensors in High DimensionsOperational Research (OR), 2021
Biao Cai
Jingfei Zhang
W. Sun
260
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Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
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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
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Covariate-assisted Sparse Tensor Completion
Covariate-assisted Sparse Tensor CompletionJournal of the American Statistical Association (JASA), 2021
Hilda S Ibriga
W. Sun
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Implicit Regularization in Tensor Factorization
Implicit Regularization in Tensor FactorizationInternational Conference on Machine Learning (ICML), 2021
Noam Razin
Asaf Maman
Nadav Cohen
412
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19 Feb 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Beyond the Signs: Nonparametric Tensor Completion via Sign SeriesNeural Information Processing Systems (NeurIPS), 2021
Chanwoo Lee
Miaoyan Wang
328
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Inference for Low-rank Tensors -- No Need to Debias
Inference for Low-rank Tensors -- No Need to DebiasAnnals of Statistics (Ann. Stat.), 2020
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Anru R. Zhang
Yuchen Zhou
502
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Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
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Yuejie Chi
Jianqing Fan
Cong Ma
699
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Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
Tensor Kernel Recovery for Spatio-Temporal Hawkes ProcessesIEEE Transactions on Signal Processing (TSP), 2020
Heejune Sheen
Xiao-ning Zhu
Yao Xie
453
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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy
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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs
Yuxin Chen
Jianqing Fan
B. Wang
Yuling Yan
461
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04 Aug 2020
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision
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Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision MakingJournal of the American Statistical Association (JASA), 2020
Jie Zhou
Botao Hao
Zheng Wen
Jingfei Zhang
W. Sun
382
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31 Jul 2020
Tensor Completion with Nearly Linear Samples Given Weak Side Information
Tensor Completion with Nearly Linear Samples Given Weak Side Information
Chao Yu
Xumei Xi
555
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On Multivariate Singular Spectrum Analysis and its Variants
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Anish Agarwal
Abdullah Alomar
Devavrat Shah
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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
351
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15 Jun 2020
An Analysis of Constant Step Size SGD in the Non-convex Regime:
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An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and BiasNeural Information Processing Systems (NeurIPS), 2020
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
434
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14 Jun 2020
Tensor Completion Made Practical
Tensor Completion Made Practical
Allen Liu
Ankur Moitra
369
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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
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Nadav Cohen
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An Optimal Statistical and Computational Framework for Generalized
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An Optimal Statistical and Computational Framework for Generalized Tensor EstimationAnnals of Statistics (Ann. Stat.), 2020
Rungang Han
Rebecca Willett
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455
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26 Feb 2020
Partially Observed Dynamic Tensor Response Regression
Partially Observed Dynamic Tensor Response RegressionJournal of the American Statistical Association (JASA), 2020
Jie Zhou
W. Sun
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Lexin Li
390
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22 Feb 2020
Community Detection on Mixture Multi-layer Networks via Regularized
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Community Detection on Mixture Multi-layer Networks via Regularized Tensor DecompositionAnnals of Statistics (Ann. Stat.), 2020
Bing-Yi Jing
Ting Li
Zhongyuan Lyu
Dong Xia
318
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10 Feb 2020
The EM Algorithm gives Sample-Optimality for Learning Mixtures of
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Bridging Convex and Nonconvex Optimization in Robust PCA: Noise,
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Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing DataAnnals of Statistics (Ann. Stat.), 2020
Yuxin Chen
Jianqing Fan
Cong Ma
Yuling Yan
538
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15 Jan 2020
Subspace Estimation from Unbalanced and Incomplete Data Matrices:
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Subspace Estimation from Unbalanced and Incomplete Data Matrices: ℓ2,∞\ell_{2,\infty}ℓ2,∞​ Statistical Guarantees
Changxiao Cai
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Yuejie Chi
H. Vincent Poor
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515
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Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse
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Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative FilteringIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Devavrat Shah
Chao Yu
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03 Aug 2019
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An OverviewIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2018
Yuejie Chi
Yue M. Lu
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Nonconvex Matrix Factorization from Rank-One Measurements
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Yuanxin Li
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Yuejie Chi
220
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