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2109.11154
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Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Neural Information Processing Systems (NeurIPS), 2021
23 September 2021
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
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Papers citing
"Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery"
18 / 18 papers shown
Title
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer
Boaz Nadler
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0
19 May 2025
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Paris Giampouras
HanQin Cai
René Vidal
328
4
0
22 Oct 2024
Robust Low-rank Tensor Train Recovery
IEEE Transactions on Signal Processing (IEEE TSP), 2024
Zhen Qin
Zhihui Zhu
228
3
0
19 Oct 2024
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization
International Conference on Machine Learning (ICML), 2024
Avrajit Ghosh
Xitong Zhang
Kenneth K. Sun
Qing Qu
S. Ravishankar
Rongrong Wang
MedIm
239
6
0
07 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
210
23
0
06 Jun 2024
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
Andrew D. McRae
191
2
0
19 Apr 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jialun Zhang
Hong-Ming Chiu
Richard Y. Zhang
324
6
0
26 May 2023
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction
Chen Cheng
Qingping Zhou
MedIm
191
3
0
08 Apr 2023
Can Learning Be Explained By Local Optimality In Robust Low-rank Matrix Recovery?
Mathematics of Operations Research (MOR), 2023
Jianhao Ma
Salar Fattahi
388
1
0
21 Feb 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
International Conference on Machine Learning (ICML), 2023
Xingyu Xu
Yandi Shen
Yuejie Chi
Cong Ma
429
42
0
02 Feb 2023
A Validation Approach to Over-parameterized Matrix and Image Recovery
Lijun Ding
Zhen Qin
Liwei Jiang
Jinxin Zhou
Zhihui Zhu
364
15
0
21 Sep 2022
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
Salar Fattahi
197
5
0
15 Jul 2022
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
Mathematical programming (Math. Program.), 2022
Richard Y. Zhang
317
26
0
05 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Annals of Statistics (Ann. Stat.), 2022
Yuetian Luo
Anru R. Zhang
285
25
0
17 Jun 2022
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Liwei Jiang
Yudong Chen
Lijun Ding
193
32
0
06 Mar 2022
Robust Training under Label Noise by Over-parameterization
International Conference on Machine Learning (ICML), 2022
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
205
130
0
28 Feb 2022
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
431
80
0
11 Dec 2021
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang
Qing Qu
John N. Wright
287
48
0
14 Jul 2020
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