Cover Image

On Subsample Size of Quantile-Based Randomized Kaczmarz

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Jian-Feng, Chen, Junren, Ma, Anna, Wu, Tong
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 65F10, 68W20, 60B20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
by: Zhang, Lu, et al.
Published: (2026)

Randomized batch-sampling Kaczmarz methods for solving linear systems
by: Xie, Dong-Yue, et al.
Published: (2025)

Beyond Low Rank: Fast Low-Rank + Diagonal Decomposition with a Spectral Approach
by: Yeon, Kingsley, et al.
Published: (2025)

Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method
by: Ferreira, Inês A., et al.
Published: (2024)

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
by: Dereziński, Michał, et al.
Published: (2026)

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
by: Persson, David, et al.
Published: (2025)

GMRES with randomized sketching and deflated restarting
by: Burke, Liam, et al.
Published: (2023)

Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)

Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems
by: Ferreira, Inês, et al.
Published: (2024)

Acceleration and restart for the randomized Bregman-Kaczmarz method
by: Tondji, Lionel, et al.
Published: (2023)

Accelerating a restarted Krylov method for matrix functions with randomization
by: Guidotti, Nicolas L., et al.
Published: (2025)

Fast randomized numerical rank estimation for numerically low-rank matrices
by: Meier, Maike, et al.
Published: (2021)

Randomized flexible Krylov methods for $\ell_p$ regularization
by: Landman, Malena Sabaté, et al.
Published: (2025)

Randomized Nyström approximation of non-negative self-adjoint operators
by: Persson, David, et al.
Published: (2024)

Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
by: Chen, Guan-Yu, et al.
Published: (2025)

Random Source Iteration Method: Mitigating the Ray Effect in the Discrete Ordinates Method
by: Fu, Jingyi, et al.
Published: (2025)

Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions
by: Palitta, Davide, et al.
Published: (2023)

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization
by: Tondji, Lionel, et al.
Published: (2025)

Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)

Fast and forward stable randomized algorithms for linear least-squares problems
by: Epperly, Ethan N.
Published: (2023)

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
by: Epperly, Ethan N., et al.
Published: (2024)

Row-aware Randomized SVD with applications
by: Palitta, Davide, et al.
Published: (2024)

Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024)

BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions
by: Yeon, Kingsley, et al.
Published: (2025)

Randomized Flexible LSQR and LSMR with applications to inverse problems
by: Bucci, Alberto, et al.
Published: (2026)

A general framework for Krylov ODE residuals with applications to randomized Krylov methods
by: Krieger, Emil, et al.
Published: (2025)

Optimal Krylov On Average
by: Luo, Qi, et al.
Published: (2025)

A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems
by: Bergou, El Houcine, et al.
Published: (2023)

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
by: Lok, Jackie, et al.
Published: (2025)

Matrix-free stochastic calculation of operator norms without using adjoints
by: Bresch, Jonas, et al.
Published: (2024)

Beyond Expectation: Concentration Inequalities for Randomized Iterative Methods
by: Anderson, Toby, et al.
Published: (2025)

Preconditioning via Randomized Range Deflation (RandRAND)
by: Balabanov, Oleg, et al.
Published: (2025)

Where Have All the Kaczmarz Iterates Gone?
by: Bergou, El Houcine, et al.
Published: (2025)

Efficient Sketching-Based Summation of Tucker Tensors
by: Smith, Rudi, et al.
Published: (2026)

Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023)

Sharp analysis of sketched least squares and randomized low-rank approximation
by: Epperly, Ethan N., et al.
Published: (2026)

Randomized Large-Scale Quaternion Matrix Approximation: Practical Rangefinders and One-Pass Algorithm
by: Chang, Chao, et al.
Published: (2024)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
by: Matti, Fabio, et al.
Published: (2025)

Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
by: Cortinovis, Alice, et al.
Published: (2024)

Read Between the Hyperplanes: On Spectral Projection and Sampling Approaches to Randomized Kaczmarz
by: Nguyen, James, et al.
Published: (2025)