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Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
29 April 2021
Tian Tong
Cong Ma
Ashley Prater-Bennette
Erin E. Tripp
Yuejie Chi
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Papers citing
"Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements"
13 / 13 papers shown
Title
Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach
Yao Wang
Yiyang Yang
Kaidong Wang
Shanxing Gao
Xiuwu Liao
63
0
0
12 Feb 2025
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
Zhen Qin
Zhihui Zhu
67
4
0
10 Jun 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi-Long Han
Yandong Tang
Xi-Le Zhao
Yao Wang
47
1
0
22 Jan 2024
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization
Cong Ma
Xingyu Xu
Tian Tong
Yuejie Chi
18
9
0
09 Oct 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
Yuchen Zhou
Yuxin Chen
38
4
0
10 Mar 2023
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma
Li-Zhen Guo
S. Fattahi
38
4
0
01 Oct 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
29
19
0
17 Jun 2022
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
23
10
0
10 Aug 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
Yuetian Luo
Anru R. Zhang
42
18
0
24 Apr 2021
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
Tian Tong
Cong Ma
Yuejie Chi
19
113
0
18 May 2020
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Canyi Lu
Jiashi Feng
Zhouchen Lin
Shuicheng Yan
37
102
0
07 Jun 2018
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
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