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GNMR: A provable one-line algorithm for low rank matrix recovery
v1v2v3 (latest)

GNMR: A provable one-line algorithm for low rank matrix recovery

24 June 2021
Pini Zilber
B. Nadler
ArXiv (abs)PDFHTML

Papers citing "GNMR: A provable one-line algorithm for low rank matrix recovery"

7 / 7 papers shown
Title
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer
Boaz Nadler
143
0
0
19 May 2025
Truncated Matrix Completion - An Empirical Study
Truncated Matrix Completion - An Empirical Study
Rishhabh Naik
Nisarg Trivedi
Davoud Ataee Tarzanagh
Laura Balzano
251
3
0
14 Apr 2025
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
Dominik Stoger
Yizhe Zhu
217
4
0
20 Aug 2024
Symmetric Matrix Completion with ReLU Sampling
Symmetric Matrix Completion with ReLU Sampling
Huikang Liu
Peng Wang
Longxiu Huang
Qing Qu
Laura Balzano
117
3
0
09 Jun 2024
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix
  Completion
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
Xiaoqian Liu
Xu Han
Eric C. Chi
B. Nadler
109
0
0
27 Apr 2023
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time Samples
C. Kümmerle
Mauro Maggioni
Sui Tang
87
1
0
01 Dec 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Pini Zilber
B. Nadler
107
8
0
31 Jan 2022
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