Sharp analysis of sketched least squares and randomized low-rank approximation
Fuente:
arXiv
Saved in:
| Main Authors: | Epperly, Ethan N., Webber, Robert J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and forward stable randomized algorithms for linear least-squares problems
by: Epperly, Ethan N.
Published: (2023)
by: Epperly, Ethan N.
Published: (2023)
Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023)
by: Díaz, Mateo, et al.
Published: (2023)
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)
Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
by: Epperly, Ethan N., et al.
Published: (2024)
by: Epperly, Ethan N., 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)
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)
Efficient error and variance estimation for randomized matrix computations
by: Epperly, Ethan N., et al.
Published: (2022)
by: Epperly, Ethan N., et al.
Published: (2022)
Adaptive randomized pivoting and volume sampling
by: Epperly, Ethan N.
Published: (2025)
by: Epperly, Ethan N.
Published: (2025)
XTrace: Making the most of every sample in stochastic trace estimation
by: Epperly, Ethan N., et al.
Published: (2023)
by: Epperly, Ethan N., et al.
Published: (2023)
Superfast direct inversion of the nonuniform discrete Fourier transform via hierarchically semi-separable least squares
by: Wilber, Heather, et al.
Published: (2024)
by: Wilber, Heather, et al.
Published: (2024)
Fast randomized numerical rank estimation for numerically low-rank matrices
by: Meier, Maike, et al.
Published: (2021)
by: Meier, Maike, et al.
Published: (2021)
Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025)
by: Camaño, Chris, et al.
Published: (2025)
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)
GMRES with randomized sketching and deflated restarting
by: Burke, Liam, et al.
Published: (2023)
by: Burke, Liam, et al.
Published: (2023)
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, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
by: Epperly, Ethan N., et al.
Published: (2026)
by: Epperly, Ethan N., et al.
Published: (2026)
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)
Low-rank approximation of parameter-dependent matrices via CUR decomposition
by: Park, Taejun, et al.
Published: (2024)
by: Park, Taejun, et al.
Published: (2024)
Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
by: Lok, Jackie, et al.
Published: (2025)
by: Lok, Jackie, et al.
Published: (2025)
Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, et al.
Published: (2024)
Randomized methods for dynamical low-rank approximation
by: Carrel, Benjamin
Published: (2024)
by: Carrel, Benjamin
Published: (2024)
Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024)
by: Lam, Hei Yin, et al.
Published: (2024)
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky
by: Epperly, Ethan N., et al.
Published: (2024)
by: Epperly, Ethan N., et al.
Published: (2024)
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)
Efficient error estimators for Generalized Nyström
by: Lazzarino, Lorenzo, et al.
Published: (2026)
by: Lazzarino, Lorenzo, et al.
Published: (2026)
Accelerating a restarted Krylov method for matrix functions with randomization
by: Guidotti, Nicolas L., et al.
Published: (2025)
by: Guidotti, Nicolas L., et al.
Published: (2025)
Quasi-optimal hierarchically semi-separable matrix approximation
by: Amsel, Noah, et al.
Published: (2025)
by: Amsel, Noah, et al.
Published: (2025)
Improving Sketching Algorithms for Low-Rank Matrix Approximation via Sketch-Power Iterations
by: Chang, Chao, et al.
Published: (2026)
by: Chang, Chao, et al.
Published: (2026)
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)
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)
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)
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)
Fast Rank Adaptive CUR via a Recycled Small Sketch
by: Pritchard, Nathaniel, et al.
Published: (2025)
by: Pritchard, Nathaniel, et al.
Published: (2025)
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)
Detecting when one probe vector is enough for preconditioned log-determinant approximation
by: Cortinovis, Alice, et al.
Published: (2026)
by: Cortinovis, Alice, et al.
Published: (2026)
A general framework for Krylov ODE residuals with applications to randomized Krylov methods
by: Krieger, Emil, et al.
Published: (2025)
by: Krieger, Emil, et al.
Published: (2025)
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)
Similar Items
-
Fast and forward stable randomized algorithms for linear least-squares problems
by: Epperly, Ethan N.
Published: (2023) -
Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023) -
Make the most of what you have: Resource-efficient randomized algorithms for matrix computations
by: Epperly, Ethan N.
Published: (2025) -
Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
by: Epperly, Ethan N., et al.
Published: (2024) -
Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
by: Cortinovis, Alice, et al.
Published: (2024)