Improving Sketching Algorithms for Low-Rank Matrix Approximation via Sketch-Power Iterations
Fuente:
arXiv
Saved in:
| Main Authors: | Chang, Chao, Yang, Yuning |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Randomized Large-Scale Quaternion Matrix Approximation: Practical Rangefinders and One-Pass Algorithm
by: Chang, Chao, et al.
Published: (2024)
by: Chang, Chao, et al.
Published: (2024)
Efficient Sketching-Based Summation of Tucker Tensors
by: Smith, Rudi, et al.
Published: (2026)
by: Smith, Rudi, et al.
Published: (2026)
Fast Rank Adaptive CUR via a Recycled Small Sketch
by: Pritchard, Nathaniel, et al.
Published: (2025)
by: Pritchard, Nathaniel, et al.
Published: (2025)
Linear-Scaling Tensor Train Sketching
by: Cazeaux, Paul, et al.
Published: (2026)
by: Cazeaux, Paul, et al.
Published: (2026)
Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Sylvester Equations
by: Palitta, Davide, et al.
Published: (2023)
by: Palitta, Davide, et al.
Published: (2023)
Low-rank approximation of parameter-dependent matrices via CUR decomposition
by: Park, Taejun, et al.
Published: (2024)
by: Park, Taejun, et al.
Published: (2024)
Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions
by: Palitta, Davide, et al.
Published: (2023)
by: Palitta, Davide, et al.
Published: (2023)
Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
by: Persson, David, et al.
Published: (2025)
by: Persson, David, et al.
Published: (2025)
Sharp analysis of sketched least squares and randomized low-rank approximation
by: Epperly, Ethan N., et al.
Published: (2026)
by: Epperly, Ethan N., et al.
Published: (2026)
Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
by: Dereziński, Michał, et al.
Published: (2026)
by: Dereziński, Michał, et al.
Published: (2026)
Beyond Low Rank: Fast Low-Rank + Diagonal Decomposition with a Spectral Approach
by: Yeon, Kingsley, et al.
Published: (2025)
by: Yeon, Kingsley, et al.
Published: (2025)
Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)
by: Begovic, Erna, et al.
Published: (2024)
Row-aware Randomized SVD with applications
by: Palitta, Davide, et al.
Published: (2024)
by: Palitta, Davide, et al.
Published: (2024)
Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
by: Cortinovis, Alice, et al.
Published: (2024)
by: Cortinovis, Alice, et al.
Published: (2024)
Matrix-free stochastic calculation of operator norms without using adjoints
by: Bresch, Jonas, et al.
Published: (2024)
by: Bresch, Jonas, et al.
Published: (2024)
Randomized algorithms for streaming low-rank approximation in tree tensor network format
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, et al.
Published: (2024)
A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, et al.
Published: (2024)
Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
by: Chen, Guan-Yu, et al.
Published: (2025)
by: Chen, Guan-Yu, et al.
Published: (2025)
On a randomized small-block Lanczos method for large-scale null space computations
by: Kressner, Daniel, et al.
Published: (2024)
by: Kressner, Daniel, et al.
Published: (2024)
Algorithm-agnostic low-rank approximation of operator monotone matrix functions
by: Persson, David, et al.
Published: (2023)
by: Persson, David, et al.
Published: (2023)
Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method
by: Ferreira, Inês A., et al.
Published: (2024)
by: Ferreira, Inês A., et al.
Published: (2024)
Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023)
by: Díaz, Mateo, et al.
Published: (2023)
Optimal Sensor Placement in Gaussian Processes via Column Subset Selection
by: Chen, Jessie, et al.
Published: (2026)
by: Chen, Jessie, et al.
Published: (2026)
Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring
by: Antil, Harbir, et al.
Published: (2025)
by: Antil, Harbir, et al.
Published: (2025)
Fast, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
by: Epperly, Ethan N., et al.
Published: (2026)
by: Epperly, Ethan N., et al.
Published: (2026)
A Numerical Analysis of Sketched Linear Squares Problems and Stopping Criteria for Iterative Solvers
by: Jia, Zhongxiao, et al.
Published: (2026)
by: Jia, Zhongxiao, et al.
Published: (2026)
Efficient error estimators for Generalized Nyström
by: Lazzarino, Lorenzo, et al.
Published: (2026)
by: Lazzarino, Lorenzo, et al.
Published: (2026)
Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025)
by: Camaño, Chris, et al.
Published: (2025)
Distributed Hybrid Sketching for $\ell_2$-Embeddings
by: Charalambides, Neophytos, et al.
Published: (2024)
by: Charalambides, Neophytos, et al.
Published: (2024)
Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
by: Matti, Fabio, et al.
Published: (2025)
by: Matti, Fabio, et al.
Published: (2025)
On computing the zeros of a class of Sobolev orthogonal polynomials
by: Mastronardi, Nicola, et al.
Published: (2025)
by: Mastronardi, Nicola, et al.
Published: (2025)
The Pseudoinverse of $A=CR$ is $A^+=R^+C^+$ (?)
by: Karpowicz, Michał P., et al.
Published: (2023)
by: Karpowicz, Michał P., et al.
Published: (2023)
Randomized algorithms for computing the tensor train approximation and their applications
by: Che, Maolin, et al.
Published: (2024)
by: Che, Maolin, et al.
Published: (2024)
Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
by: Che, Maolin, et al.
Published: (2025)
by: Che, Maolin, et al.
Published: (2025)
FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
by: Zhang, Lu, et al.
Published: (2026)
by: Zhang, Lu, et al.
Published: (2026)
Fast randomized numerical rank estimation for numerically low-rank matrices
by: Meier, Maike, et al.
Published: (2021)
by: Meier, Maike, et al.
Published: (2021)
Make the most of what you have: Resource-efficient randomized algorithms for matrix computations
by: Epperly, Ethan N.
Published: (2025)
by: Epperly, Ethan N.
Published: (2025)
Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems
by: Ferreira, Inês, et al.
Published: (2024)
by: Ferreira, Inês, et al.
Published: (2024)
Similar Items
-
Randomized Large-Scale Quaternion Matrix Approximation: Practical Rangefinders and One-Pass Algorithm
by: Chang, Chao, et al.
Published: (2024) -
Efficient Sketching-Based Summation of Tucker Tensors
by: Smith, Rudi, et al.
Published: (2026) -
Fast Rank Adaptive CUR via a Recycled Small Sketch
by: Pritchard, Nathaniel, et al.
Published: (2025) -
Linear-Scaling Tensor Train Sketching
by: Cazeaux, Paul, et al.
Published: (2026) -
Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Sylvester Equations
by: Palitta, Davide, et al.
Published: (2023)