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Fast and Accurate Estimation of Low-Rank Matrices from Noisy
  Measurements via Preconditioned Non-Convex Gradient Descent

Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent

26 May 2023
Jialun Zhang
Hong-Ming Chiu
Richard Y. Zhang
ArXivPDFHTML

Papers citing "Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent"

4 / 4 papers shown
Title
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
Mengyang Sun
Yihao Wang
Tao Feng
Dan Zhang
Yifan Zhu
J. Tang
MoE
29
0
0
20 Feb 2025
Guarantees of a Preconditioned Subgradient Algorithm for
  Overparameterized Asymmetric Low-rank Matrix Recovery
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Paris Giampouras
HanQin Cai
René Vidal
35
3
0
22 Oct 2024
A Validation Approach to Over-parameterized Matrix and Image Recovery
A Validation Approach to Over-parameterized Matrix and Image Recovery
Lijun Ding
Zhen Qin
Liwei Jiang
Jinxin Zhou
Zhihui Zhu
40
13
0
21 Sep 2022
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact
  Recovery
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
18
28
0
23 Sep 2021
1