Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation
from Incomplete Measurements

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements

29 April 2021

Ashley Prater-Bennette

Papers citing "Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements"

14 / 14 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 69 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
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 32 20 0 09 Aug 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 45 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 39 102 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