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Robust PCA by Manifold Optimization

Robust PCA by Manifold Optimization

1 August 2017
Teng Zhang
Yi Yang
ArXivPDFHTML

Papers citing "Robust PCA by Manifold Optimization"

12 / 12 papers shown
Title
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Y. Liu
You He
VLM
59
3
0
31 Dec 2024
Structured Sampling for Robust Euclidean Distance Geometry
Structured Sampling for Robust Euclidean Distance Geometry
Chandra Kundu
Abiy Tasissa
HanQin Cai
94
0
0
14 Dec 2024
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
HanQin Cai
Longxiu Huang
Chandra Kundu
Bowen Su
37
4
0
28 Jan 2024
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient
  Language Model Finetuning
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo
P. Greengard
Eric P. Xing
Yoon Kim
MQ
38
43
0
20 Nov 2023
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric
  Kernels
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels
Alexander Moreno
Jonathan Mei
Luke Walters
23
0
0
15 May 2023
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape
  Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
Yuetian Luo
Nicolas García Trillos
24
6
0
29 Sep 2022
Nonconvex Factorization and Manifold Formulations are Almost Equivalent
  in Low-rank Matrix Optimization
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
Yuetian Luo
Xudong Li
Anru R. Zhang
33
9
0
03 Aug 2021
Recursive Importance Sketching for Rank Constrained Least Squares:
  Algorithms and High-order Convergence
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
23
15
0
17 Nov 2020
Depth Descent Synchronization in $\mathrm{SO}(D)$
Depth Descent Synchronization in SO(D)\mathrm{SO}(D)SO(D)
Tyler Maunu
Gilad Lerman
MDE
37
2
0
13 Feb 2020
Subgradient Descent Learns Orthogonal Dictionaries
Subgradient Descent Learns Orthogonal Dictionaries
Yu Bai
Qijia Jiang
Ju Sun
20
51
0
25 Oct 2018
Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
20
50
0
09 Jun 2018
A Nonconvex Projection Method for Robust PCA
A Nonconvex Projection Method for Robust PCA
Aritra Dutta
Filip Hanzely
Peter Richtárik
20
24
0
21 May 2018
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