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Tensor Completion Made Practical
v1v2 (latest)

Tensor Completion Made Practical

4 June 2020
Allen Liu
Ankur Moitra
ArXiv (abs)PDFHTML

Papers citing "Tensor Completion Made Practical"

19 / 19 papers shown
Title
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Pravesh K. Kothari
Ankur Moitra
Alexander S. Wein
147
1
0
21 Nov 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
A non-backtracking method for long matrix and tensor completion
A non-backtracking method for long matrix and tensor completion
Ludovic Stephan
Yizhe Zhu
147
7
0
04 Apr 2023
Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
98
15
0
11 Sep 2022
Model based Multi-agent Reinforcement Learning with Tensor
  Decompositions
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
78
8
0
27 Oct 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
Tensor completion using geodesics on Segre manifolds
Tensor completion using geodesics on Segre manifolds
Lars Swijsen
J. Veken
N. Vannieuwenhoven
3DV
52
6
0
02 Aug 2021
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Matthew Fahrbach
Mehrdad Ghadiri
Thomas Fu
27
5
0
22 Jul 2021
Provable Adaptation across Multiway Domains via Representation Learning
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng
Shaobo Han
S. Du
OOD
33
4
0
12 Jun 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
TenIPS: Inverse Propensity Sampling for Tensor Completion
TenIPS: Inverse Propensity Sampling for Tensor Completion
Chengrun Yang
Lijun Ding
Ziyang Wu
Madeleine Udell
141
8
0
01 Jan 2021
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
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank
  Tensor Completion and Tensor Robust Principal Component Analysis
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis
Jicong Fan
Lijun Ding
Chengrun Yang
Zhao Zhang
Madeleine Udell
168
3
0
07 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
43
11
0
18 Nov 2020
Tensor Completion via Tensor Networks with a Tucker Wrapper
Tensor Completion via Tensor Networks with a Tucker Wrapper
Yunfeng Cai
P. Li
3DV
56
1
0
29 Oct 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
Deterministic tensor completion with hypergraph expanders
Deterministic tensor completion with hypergraph expanders
K. Harris
Yizhe Zhu
74
11
0
23 Oct 2019
Distributed-Memory Tensor Completion for Generalized Loss Functions in
  Python using New Sparse Tensor Kernels
Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
Navjot Singh
Zecheng Zhang
Xiaoxia Wu
Naijing Zhang
Siyuan Zhang
Edgar Solomonik
51
15
0
06 Oct 2019
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