Gradient Coding with Iterative Block Leverage Score Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Charalambides, Neophytos, Pilanci, Mert, Hero, Alfred |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributed Hybrid Sketching for $\ell_2$-Embeddings
by: Charalambides, Neophytos, et al.
Published: (2024)
by: Charalambides, Neophytos, et al.
Published: (2024)
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)
Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025)
by: Camaño, Chris, et al.
Published: (2025)
Anderson acceleration with approximate calculations: applications to scientific computing
by: Pasini, Massimiliano Lupo, et al.
Published: (2022)
by: Pasini, Massimiliano Lupo, et al.
Published: (2022)
Approximate Distributed Coded Computing: Polynomial Codes and Randomized Sketching
by: Charalambides, Neophytos, et al.
Published: (2026)
by: Charalambides, Neophytos, et al.
Published: (2026)
Efficient error estimators for Generalized Nyström
by: Lazzarino, Lorenzo, et al.
Published: (2026)
by: Lazzarino, Lorenzo, et al.
Published: (2026)
Iterative Sketching for Secure Coded Regression
by: Charalambides, Neophytos, et al.
Published: (2023)
by: Charalambides, Neophytos, et al.
Published: (2023)
Fast and forward stable randomized algorithms for linear least-squares problems
by: Epperly, Ethan N.
Published: (2023)
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)
by: Epperly, Ethan N., et al.
Published: (2024)
Hybrid hierarchical matrices with adaptive mixed precision storage
by: Khan, Ritesh, et al.
Published: (2026)
by: Khan, Ritesh, 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)
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)
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)
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)
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)
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)
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)
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)
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)
GMRES with randomized sketching and deflated restarting
by: Burke, Liam, et al.
Published: (2023)
by: Burke, Liam, et al.
Published: (2023)
Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions
by: Palitta, Davide, et al.
Published: (2023)
by: Palitta, Davide, et al.
Published: (2023)
Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Sylvester Equations
by: Palitta, Davide, et al.
Published: (2023)
by: Palitta, Davide, 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)
Fast randomized numerical rank estimation for numerically low-rank matrices
by: Meier, Maike, et al.
Published: (2021)
by: Meier, Maike, et al.
Published: (2021)
Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring
by: Antil, Harbir, et al.
Published: (2025)
by: Antil, Harbir, et al.
Published: (2025)
Undercomplete Decomposition of Symmetric Tensors in Linear Time, and Smoothed Analysis of the Condition Number
by: Koiran, Pascal, et al.
Published: (2024)
by: Koiran, Pascal, et al.
Published: (2024)
Preconditioning via Randomized Range Deflation (RandRAND)
by: Balabanov, Oleg, et al.
Published: (2025)
by: Balabanov, Oleg, 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)
Optimal Krylov On Average
by: Luo, Qi, et al.
Published: (2025)
by: Luo, Qi, et al.
Published: (2025)
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
by: Cho, Younghyun, et al.
Published: (2023)
by: Cho, Younghyun, et al.
Published: (2023)
Randomized flexible Krylov methods for $\ell_p$ regularization
by: Landman, Malena Sabaté, et al.
Published: (2025)
by: Landman, Malena Sabaté, 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)
Fast Evaluation of Truncated Neumann Series by Low-Product Radix Kernels
by: Sao, Piyush
Published: (2026)
by: Sao, Piyush
Published: (2026)
Linear-Scaling Tensor Train Sketching
by: Cazeaux, Paul, et al.
Published: (2026)
by: Cazeaux, Paul, et al.
Published: (2026)
Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)
by: Begovic, Erna, et al.
Published: (2024)
Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024)
by: Lam, Hei Yin, et al.
Published: (2024)
Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, 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)
Similar Items
-
Distributed Hybrid Sketching for $\ell_2$-Embeddings
by: Charalambides, Neophytos, et al.
Published: (2024) -
Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
by: Dereziński, Michał, et al.
Published: (2026) -
Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025) -
Anderson acceleration with approximate calculations: applications to scientific computing
by: Pasini, Massimiliano Lupo, et al.
Published: (2022) -
Approximate Distributed Coded Computing: Polynomial Codes and Randomized Sketching
by: Charalambides, Neophytos, et al.
Published: (2026)