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Spectral algorithms for tensor completion

Spectral algorithms for tensor completion

23 December 2016
Andrea Montanari
Nike Sun
ArXiv (abs)PDFHTML

Papers citing "Spectral algorithms for tensor completion"

50 / 55 papers shown
Title
Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations
Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations
Kiril Bangachev
Guy Bresler
Stefan Tiegel
Vinod Vaikuntanathan
88
3
0
19 Nov 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
98
3
0
28 May 2024
Tensor Completion via Integer Optimization
Tensor Completion via Integer Optimization
Xin Chen
S. Kudva
Yongzheng Dai
Anil Aswani
Chen Chen
57
0
0
06 Feb 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
163
1
0
02 Jan 2024
Multi-dimensional domain generalization with low-rank structures
Multi-dimensional domain generalization with low-rank structures
Sai Li
Linjun Zhang
75
2
0
18 Sep 2023
Spectral gap-based deterministic tensor completion
Spectral gap-based deterministic tensor completion
K. Harris
Oscar López
A. Read
Yizhe Zhu
32
2
0
09 Jun 2023
One-sided Matrix Completion from Two Observations Per Row
One-sided Matrix Completion from Two Observations Per Row
Steven Cao
Percy Liang
Gregory Valiant
112
0
0
06 Jun 2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim
Xiao Fu
R. Hutchinson
Eugene Seo
70
1
0
05 Jun 2023
A non-backtracking method for long matrix and tensor completion
A non-backtracking method for long matrix and tensor completion
Ludovic Stephan
Yizhe Zhu
163
7
0
04 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
71
4
0
10 Mar 2023
Accelerated Nonnegative Tensor Completion via Integer Programming
Accelerated Nonnegative Tensor Completion via Integer Programming
Wenhao Pan
A. Aswani
Chen Chen
77
1
0
28 Nov 2022
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detection
Ludovic Stephan
Yizhe Zhu
64
21
0
14 Mar 2022
Tensor Completion for Causal Inference with Multivariate Longitudinal
  Data: A Reevaluation of COVID-19 Mandates
Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates
Jonathan Auerbach
M. Slawski
Shixue Zhang
48
0
0
09 Mar 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
95
9
0
28 Feb 2022
Zero-Truncated Poisson Regression for Sparse Multiway Count Data
  Corrupted by False Zeros
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
Oscar López
Daniel M. Dunlavy
R. Lehoucq
41
4
0
25 Jan 2022
Nonnegative Tensor Completion via Integer Optimization
Nonnegative Tensor Completion via Integer Optimization
C. Bugg
Chen Chen
A. Aswani
51
8
0
08 Nov 2021
Provable Tensor-Train Format Tensor Completion by Riemannian
  Optimization
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
Jian-Feng Cai
Jingyang Li
Dong Xia
78
28
0
27 Aug 2021
Inference for Heteroskedastic PCA with Missing Data
Inference for Heteroskedastic PCA with Missing Data
Yuling Yan
Yuxin Chen
Jianqing Fan
126
19
0
26 Jul 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
110
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
159
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
31
0
16 Mar 2021
Covariate-assisted Sparse Tensor Completion
Covariate-assisted Sparse Tensor Completion
Hilda S Ibriga
W. Sun
76
4
0
11 Mar 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
76
18
0
13 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
99
18
0
29 Dec 2020
Tensor Completion by Multi-Rank via Unitary Transformation
Tensor Completion by Multi-Rank via Unitary Transformation
Guang-Jing Song
Michael K. Ng
Xiongjun Zhang
63
13
0
16 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
163
173
0
15 Dec 2020
Exact nuclear norm, completion and decomposition for random overcomplete
  tensors via degree-4 SOS
Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS
Bohdan Kivva
Aaron Potechin
53
11
0
18 Nov 2020
Tensor Estimation with Nearly Linear Samples Given Weak Side Information
Tensor Estimation with Nearly Linear Samples Given Weak Side Information
Chao Yu
141
3
0
01 Jul 2020
An $\ell_p$ theory of PCA and spectral clustering
An ℓp\ell_pℓp​ theory of PCA and spectral clustering
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
57
5
0
24 Jun 2020
Towards Understanding Hierarchical Learning: Benefits of Neural
  Representations
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
Minshuo Chen
Yu Bai
Jason D. Lee
T. Zhao
Huan Wang
Caiming Xiong
R. Socher
SSL
91
49
0
24 Jun 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
Tensor Completion Made Practical
Tensor Completion Made Practical
Allen Liu
Ankur Moitra
68
33
0
04 Jun 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
71
0
26 Feb 2020
Tensor denoising and completion based on ordinal observations
Tensor denoising and completion based on ordinal observations
Chanwoo Lee
Miaoyan Wang
75
16
0
16 Feb 2020
Sparse random tensors: Concentration, regularization and applications
Sparse random tensors: Concentration, regularization and applications
Zhixin Zhou
Yizhe Zhu
76
12
0
20 Nov 2019
Nonconvex Low-Rank Tensor Completion from Noisy Data
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai
Gen Li
H. Vincent Poor
Yuxin Chen
148
82
0
11 Nov 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
221
45
0
09 Nov 2019
Deterministic tensor completion with hypergraph expanders
Deterministic tensor completion with hypergraph expanders
K. Harris
Yizhe Zhu
83
11
0
23 Oct 2019
Subspace Estimation from Unbalanced and Incomplete Data Matrices:
  $\ell_{2,\infty}$ Statistical Guarantees
Subspace Estimation from Unbalanced and Incomplete Data Matrices: ℓ2,∞\ell_{2,\infty}ℓ2,∞​ Statistical Guarantees
Changxiao Cai
Gen Li
Yuejie Chi
H. Vincent Poor
Yuxin Chen
102
13
0
09 Oct 2019
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
Sum-of-squares meets square loss: Fast rates for agnostic tensor
  completion
Sum-of-squares meets square loss: Fast rates for agnostic tensor completion
Dylan J. Foster
Andrej Risteski
42
5
0
30 May 2019
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and
  LSTM Networks
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
M. Joneidi
Ismail Alkhouri
Nazanin Rahnavard
AI4TS
16
12
0
10 May 2019
Weighted Tensor Completion for Time-Series Causal Inference
Weighted Tensor Completion for Time-Series Causal Inference
Debmalya Mandal
David C. Parkes
28
2
0
12 Feb 2019
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Hongyang R. Zhang
Vatsal Sharan
Moses Charikar
Yingyu Liang
68
2
0
31 Oct 2018
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
High-dimensional estimation via sum-of-squares proofs
High-dimensional estimation via sum-of-squares proofs
P. Raghavendra
T. Schramm
David Steurer
90
59
0
30 Jul 2018
Learning tensors from partial binary measurements
Learning tensors from partial binary measurements
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
MQ
73
37
0
31 Mar 2018
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
Botao Hao
Anru R. Zhang
Guang Cheng
92
51
0
29 Jan 2018
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