Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Fuente:
arXiv
Saved in:
| Main Authors: | Hayashi, Koby, Aksoy, Sinan G., Ballard, Grey, Park, Haesun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Randomized Kaczmarz in Adversarial Distributed Setting
by: Huang, Longxiu, et al.
Published: (2023)
by: Huang, Longxiu, et al.
Published: (2023)
Approximating Sparse Matrices and their Functions using Matrix-vector products
by: Park, Taejun, et al.
Published: (2023)
by: Park, Taejun, 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)
Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023)
by: Díaz, Mateo, et al.
Published: (2023)
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)
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)
DyKAF: Dynamical Kronecker Approximation of the Fisher Information Matrix for Gradient Preconditioning
by: Yudin, Nikolay, et al.
Published: (2025)
by: Yudin, Nikolay, et al.
Published: (2025)
Robust parallel nonlinear solvers for implicit time discretizations of the Bidomain equations
by: Barnafi, Nicolás A., et al.
Published: (2022)
by: Barnafi, Nicolás A., et al.
Published: (2022)
Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly
by: Tondji, Lionel, et al.
Published: (2023)
by: Tondji, Lionel, et al.
Published: (2023)
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)
Generalized matrix nearness problems II
by: Wang, Rongbiao Thomas, et al.
Published: (2026)
by: Wang, Rongbiao Thomas, et al.
Published: (2026)
Oblivious Subspace Injection Is Not Enough for Relative Error
by: Townsend, Alex, et al.
Published: (2026)
by: Townsend, Alex, et al.
Published: (2026)
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)
Efficient Sketching-Based Summation of Tucker Tensors
by: Smith, Rudi, et al.
Published: (2026)
by: Smith, Rudi, et al.
Published: (2026)
Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
by: Garner, Casey, et al.
Published: (2023)
by: Garner, Casey, et al.
Published: (2023)
Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations
by: Bioli, Ivan, et al.
Published: (2024)
by: Bioli, Ivan, et al.
Published: (2024)
Recursive sparse LU decomposition based on nested dissection and low rank approximations
by: Xuanru, Zhu, et al.
Published: (2024)
by: Xuanru, Zhu, et al.
Published: (2024)
Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)
by: Begovic, Erna, et al.
Published: (2024)
H2-MG: A multigrid method for hierarchical rank structured matrices
by: Sushnikova, Daria, et al.
Published: (2025)
by: Sushnikova, Daria, et al.
Published: (2025)
Row-aware Randomized SVD with applications
by: Palitta, Davide, et al.
Published: (2024)
by: Palitta, Davide, et al.
Published: (2024)
Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025)
by: Camaño, Chris, et al.
Published: (2025)
On efficient block Krylov-solvers for $\mathcal H^2$-matrices
by: Christophersen, Sven
Published: (2025)
by: Christophersen, Sven
Published: (2025)
Lanczos with compression for symmetric matrix Lyapunov equations
by: Casulli, Angelo A., et al.
Published: (2025)
by: Casulli, Angelo A., et al.
Published: (2025)
A tangential low-rank ADI method for solving indefinite Lyapunov equations
by: Smith, Rudi, et al.
Published: (2025)
by: Smith, Rudi, 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)
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)
CUR Matrix Approximation through Convex Optimization for Feature Selection
by: Linehan, Kathryn, et al.
Published: (2025)
by: Linehan, Kathryn, et al.
Published: (2025)
Fast and Accurate SVD-Type Updating in Streaming Data
by: Brust, Johannes J., et al.
Published: (2025)
by: Brust, Johannes J., et al.
Published: (2025)
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
by: Chen, Yifan, et al.
Published: (2022)
by: Chen, Yifan, et al.
Published: (2022)
Optimal Matrix-Mimetic Tensor Algebras via Variable Projection
by: Newman, Elizabeth, et al.
Published: (2024)
by: Newman, Elizabeth, et al.
Published: (2024)
Auxiliary space theory for the analysis of iterative methods for semidefinite linear systems
by: Park, Jongho, et al.
Published: (2025)
by: Park, Jongho, et al.
Published: (2025)
Structure-preserving Krylov Subspace Approximations for the Matrix Exponential of Hamiltonian Matrices: A Comparative Study
by: Benner, Peter, et al.
Published: (2026)
by: Benner, Peter, et al.
Published: (2026)
Balancing Inexactness in Mixed Precision Matrix Computations
by: Carson, Erin Claire
Published: (2026)
by: Carson, Erin Claire
Published: (2026)
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)
Factorized sparse approximate inverse preconditioning for singular M-matrices
by: Bick, Katherina, et al.
Published: (2025)
by: Bick, Katherina, et al.
Published: (2025)
Algebraic Multigrid with Overlapping Schwarz Smoothers and Local Spectral Coarse Grids for Least Squares Problems
by: Southworth, Ben S., et al.
Published: (2026)
by: Southworth, Ben S., et al.
Published: (2026)
On Edge Multiscale Space based Hybrid Schwarz Preconditioner for Helmholtz Problems with Large Wavenumbers
by: Fu, Shubin, et al.
Published: (2024)
by: Fu, Shubin, et al.
Published: (2024)
A note on indefinite matrix splitting and preconditioning
by: Wathen, Andy
Published: (2024)
by: Wathen, Andy
Published: (2024)
Chebyshev HOPGD with sparse grid sampling for parameterized linear systems
by: Correnty, Siobhán, et al.
Published: (2023)
by: Correnty, Siobhán, et al.
Published: (2023)
Column and row subset selection using nuclear scores: algorithms and theory for Nyström approximation, CUR decomposition, and graph Laplacian reduction
by: Fornace, Mark, et al.
Published: (2024)
by: Fornace, Mark, et al.
Published: (2024)
Similar Items
-
Randomized Kaczmarz in Adversarial Distributed Setting
by: Huang, Longxiu, et al.
Published: (2023) -
Approximating Sparse Matrices and their Functions using Matrix-vector products
by: Park, Taejun, 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) -
Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023) -
Randomized Large-Scale Quaternion Matrix Approximation: Practical Rangefinders and One-Pass Algorithm
by: Chang, Chao, et al.
Published: (2024)