Accelerating Randomized Algorithms for Low-Rank Matrix Approximation
Fuente:
arXiv
Guardado en:
| Autores principales: | Jiang, Dandan, Fu, Bo, Xu, Weiwei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
por: Xu, Weiwei, et al.
Publicado: (2026)
por: Xu, Weiwei, et al.
Publicado: (2026)
Low-Rank GEMM: Efficient Matrix Multiplication via Low-Rank Approximation with FP8 Acceleration
por: Metere, Alfredo
Publicado: (2025)
por: Metere, Alfredo
Publicado: (2025)
Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
por: Shen, Weijie, et al.
Publicado: (2024)
por: Shen, Weijie, et al.
Publicado: (2024)
Low-Rank Matrix Approximation for Neural Network Compression
por: Cherukuri, Kalyan, et al.
Publicado: (2025)
por: Cherukuri, Kalyan, et al.
Publicado: (2025)
Robust Quaternion Matrix Completion via Fast Randomized Low‐Rank Approximation
por: Huan Ren, et al.
Publicado: (2026)
por: Huan Ren, et al.
Publicado: (2026)
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction
por: Xu, Weiwei, et al.
Publicado: (2025)
por: Xu, Weiwei, et al.
Publicado: (2025)
Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
por: Pearce, Katherine J., et al.
Publicado: (2025)
por: Pearce, Katherine J., et al.
Publicado: (2025)
The Communication Complexity of Approximating Matrix Rank
por: Sherstov, Alexander A., et al.
Publicado: (2024)
por: Sherstov, Alexander A., et al.
Publicado: (2024)
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
por: Hamlomo, Sisipho, et al.
Publicado: (2024)
por: Hamlomo, Sisipho, et al.
Publicado: (2024)
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
por: Lebeau, Hugo, et al.
Publicado: (2024)
por: Lebeau, Hugo, et al.
Publicado: (2024)
nuGPR: GPU-Accelerated Gaussian Process Regression with Iterative Algorithms and Low-Rank Approximations
por: Zhao, Ziqi, et al.
Publicado: (2025)
por: Zhao, Ziqi, et al.
Publicado: (2025)
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
por: Zhao, Pengxiang, et al.
Publicado: (2024)
por: Zhao, Pengxiang, et al.
Publicado: (2024)
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
por: Trabelsi, Firas, et al.
Publicado: (2024)
por: Trabelsi, Firas, et al.
Publicado: (2024)
Improving Sketching Algorithms for Low-Rank Matrix Approximation via Sketch-Power Iterations
por: Chang, Chao, et al.
Publicado: (2026)
por: Chang, Chao, et al.
Publicado: (2026)
Accelerating the Low-Rank Decomposed Models
por: Hajimolahoseini, Habib, et al.
Publicado: (2024)
por: Hajimolahoseini, Habib, et al.
Publicado: (2024)
LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting
por: Su, Yuchen, et al.
Publicado: (2025)
por: Su, Yuchen, et al.
Publicado: (2025)
ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition
por: Ma, Xindian, et al.
Publicado: (2026)
por: Ma, Xindian, et al.
Publicado: (2026)
Approximation Algorithms for the UAV Path Planning with Object Coverage Constraints
por: Wang, Jiawei, et al.
Publicado: (2025)
por: Wang, Jiawei, et al.
Publicado: (2025)
Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
por: Gajamannage, Kelum, et al.
Publicado: (2022)
por: Gajamannage, Kelum, et al.
Publicado: (2022)
Matrix Low-Rank Approximation For Policy Gradient Methods
por: Rozada, Sergio, et al.
Publicado: (2024)
por: Rozada, Sergio, et al.
Publicado: (2024)
Low Rank Support Quaternion Matrix Machine
por: Chen, Wang, et al.
Publicado: (2025)
por: Chen, Wang, et al.
Publicado: (2025)
New Hardness Results for Low-Rank Matrix Completion
por: Chawin, Dror, et al.
Publicado: (2025)
por: Chawin, Dror, et al.
Publicado: (2025)
Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
por: Zhao, Yumiao, et al.
Publicado: (2026)
por: Zhao, Yumiao, et al.
Publicado: (2026)
Low-Rank Approximation by Randomly Pivoted LU
por: Gilles, Marc Aurèle, et al.
Publicado: (2026)
por: Gilles, Marc Aurèle, et al.
Publicado: (2026)
WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
por: Wang, Haiyu, et al.
Publicado: (2026)
por: Wang, Haiyu, et al.
Publicado: (2026)
NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches
por: Smith, Ethan
Publicado: (2026)
por: Smith, Ethan
Publicado: (2026)
Randomized Block Low-Rank Matrix Compression by Tagging
por: Pearce, Katherine J., et al.
Publicado: (2025)
por: Pearce, Katherine J., et al.
Publicado: (2025)
Low Rank Matrix Rigidity: Tight Lower Bounds and Hardness Amplification
por: Alman, Josh, et al.
Publicado: (2025)
por: Alman, Josh, et al.
Publicado: (2025)
What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation?
por: Xu, Ruihan, et al.
Publicado: (2025)
por: Xu, Ruihan, et al.
Publicado: (2025)
CUR Low Rank Approximation of a Matrix at Sublinear Cost
por: Go, Soo, et al.
Publicado: (2019)
por: Go, Soo, et al.
Publicado: (2019)
Online Algorithms for Recovery of Low-Rank Parameter Matrix in Non-stationary Stochastic Systems
por: Fu, Yanxin, et al.
Publicado: (2025)
por: Fu, Yanxin, et al.
Publicado: (2025)
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization
por: Li, Kexin, et al.
Publicado: (2024)
por: Li, Kexin, et al.
Publicado: (2024)
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
por: Su, Yuchen, et al.
Publicado: (2023)
por: Su, Yuchen, et al.
Publicado: (2023)
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
por: Li, Yixia, et al.
Publicado: (2024)
por: Li, Yixia, et al.
Publicado: (2024)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
por: Wang, Shaowen, et al.
Publicado: (2024)
por: Wang, Shaowen, et al.
Publicado: (2024)
Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation
por: Centofanti, Fabio, et al.
Publicado: (2023)
por: Centofanti, Fabio, et al.
Publicado: (2023)
LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
por: McGrath, Sean, et al.
Publicado: (2024)
por: McGrath, Sean, et al.
Publicado: (2024)
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
por: Pan, Qilong, et al.
Publicado: (2024)
por: Pan, Qilong, et al.
Publicado: (2024)
A3 : an Analytical Low-Rank Approximation Framework for Attention
por: Wong, Jeffrey T. H., et al.
Publicado: (2025)
por: Wong, Jeffrey T. H., et al.
Publicado: (2025)
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
por: Hajimolahoseini, Habib, et al.
Publicado: (2023)
por: Hajimolahoseini, Habib, et al.
Publicado: (2023)
Ejemplares similares
-
Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
por: Xu, Weiwei, et al.
Publicado: (2026) -
Low-Rank GEMM: Efficient Matrix Multiplication via Low-Rank Approximation with FP8 Acceleration
por: Metere, Alfredo
Publicado: (2025) -
Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
por: Shen, Weijie, et al.
Publicado: (2024) -
Low-Rank Matrix Approximation for Neural Network Compression
por: Cherukuri, Kalyan, et al.
Publicado: (2025) -
Robust Quaternion Matrix Completion via Fast Randomized Low‐Rank Approximation
por: Huan Ren, et al.
Publicado: (2026)