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Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact
  Recovery

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery

23 September 2021
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
ArXivPDFHTML

Papers citing "Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery"

3 / 3 papers shown
Title
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
27
12
0
06 Jun 2024
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
S. Fattahi
19
5
0
15 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
8
19
0
17 Jun 2022
1