A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
Fuente:
arXiv
Saved in:
| Main Authors: | Bucci, Alberto, Hashemi, Behnam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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 multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2023)
by: Bucci, Alberto, et al.
Published: (2023)
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)
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)
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)
Efficient Sketching-Based Summation of Tucker Tensors
by: Smith, Rudi, et al.
Published: (2026)
by: Smith, Rudi, et al.
Published: (2026)
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)
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)
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)
Low-rank approximation of parameter-dependent matrices via CUR decomposition
by: Park, Taejun, et al.
Published: (2024)
by: Park, Taejun, et al.
Published: (2024)
Linear-Scaling Tensor Train Sketching
by: Cazeaux, Paul, et al.
Published: (2026)
by: Cazeaux, Paul, et al.
Published: (2026)
Efficient error estimators for Generalized Nyström
by: Lazzarino, Lorenzo, et al.
Published: (2026)
by: Lazzarino, Lorenzo, et al.
Published: (2026)
Algorithm-agnostic low-rank approximation of operator monotone matrix functions
by: Persson, David, et al.
Published: (2023)
by: Persson, David, et al.
Published: (2023)
Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, et al.
Published: (2024)
HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
by: Xiao, Chuanfu, et al.
Published: (2024)
by: Xiao, Chuanfu, 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)
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)
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)
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)
Quasi-optimal hierarchically semi-separable matrix approximation
by: Amsel, Noah, et al.
Published: (2025)
by: Amsel, Noah, et al.
Published: (2025)
Randomized Flexible LSQR and LSMR with applications to inverse problems
by: Bucci, Alberto, et al.
Published: (2026)
by: Bucci, Alberto, et al.
Published: (2026)
Randomized Nyström approximation of non-negative self-adjoint operators
by: Persson, David, et al.
Published: (2024)
by: Persson, David, et al.
Published: (2024)
Fast Rank Adaptive CUR via a Recycled Small Sketch
by: Pritchard, Nathaniel, et al.
Published: (2025)
by: Pritchard, Nathaniel, et al.
Published: (2025)
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)
Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
by: He, Haoze, et al.
Published: (2024)
by: He, Haoze, 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)
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)
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)
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)
Numerical Stability of the Nyström Method
by: Bucci, Alberto, et al.
Published: (2025)
by: Bucci, Alberto, 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)
A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
by: He, Haoze, et al.
Published: (2024)
by: He, Haoze, et al.
Published: (2024)
A chiseling algorithm for low-rank Grassmann decomposition of skew-symmetric tensors
by: Vannieuwenhoven, Nick
Published: (2024)
by: Vannieuwenhoven, Nick
Published: (2024)
Hybrid CUR-type decomposition of tensors in the Tucker format
by: Begovic, Erna
Published: (2020)
by: Begovic, Erna
Published: (2020)
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)
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)
Similar Items
-
Randomized algorithms for streaming low-rank approximation in tree tensor network format
by: Bucci, Alberto, et al.
Published: (2024) -
A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
by: Bucci, Alberto, et al.
Published: (2023) -
Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
by: Che, Maolin, et al.
Published: (2025) -
Randomized algorithms for computing the tensor train approximation and their applications
by: Che, Maolin, et al.
Published: (2024) -
Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
by: Zhang, Yifan, et al.
Published: (2025)