Parametric Hierarchical Matrix Approximations to Kernel Matrices
Fuente:
arXiv
Saved in:
| Main Authors: | Khan, Abraham, Chen, Chao, Rao, Vishwas, Saibaba, Arvind K. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)
by: Khan, Abraham, et al.
Published: (2024)
Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation
by: Subrahmanya, Amit N., et al.
Published: (2024)
by: Subrahmanya, Amit N., et al.
Published: (2024)
Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)
by: Eswar, Srinivas, et al.
Published: (2024)
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
by: Alexanderian, Alen, et al.
Published: (2025)
by: Alexanderian, Alen, et al.
Published: (2025)
Many (most?) column subset selection criteria are NP hard for a few columns
by: Ipsen, Ilse C. F., et al.
Published: (2025)
by: Ipsen, Ilse C. F., et al.
Published: (2025)
Improved Analysis of Khatri-Rao Random Projections and Applications
by: Saibaba, Arvind K., et al.
Published: (2025)
by: Saibaba, Arvind K., et al.
Published: (2025)
Structured Column Subset Selection for Bayesian Optimal Experimental Design
by: Díaz, Hugo, et al.
Published: (2025)
by: Díaz, Hugo, et al.
Published: (2025)
Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation
by: Kakasenko, Lev, et al.
Published: (2025)
by: Kakasenko, Lev, et al.
Published: (2025)
Stable Rank and Intrinsic Dimension of Real and Complex Matrices
by: Ipsen, Ilse C. F., et al.
Published: (2024)
by: Ipsen, Ilse C. F., et al.
Published: (2024)
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
by: Chung, Julianne, et al.
Published: (2024)
by: Chung, Julianne, et al.
Published: (2024)
Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
by: Saibaba, Arvind K., et al.
Published: (2025)
by: Saibaba, Arvind K., et al.
Published: (2025)
Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication
by: Li, Yingzhou, et al.
Published: (2025)
by: Li, Yingzhou, et al.
Published: (2025)
FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
by: Daas, Hussam Al, et al.
Published: (2025)
by: Daas, Hussam Al, et al.
Published: (2025)
Randomized Strong Recursive Skeletonization: Simultaneous Compression and LU Factorization of Hierarchical Matrices using Matrix-Vector Products
by: Yesypenko, Anna, et al.
Published: (2023)
by: Yesypenko, Anna, et al.
Published: (2023)
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices
by: Zhao, Shifan, et al.
Published: (2023)
by: Zhao, Shifan, et al.
Published: (2023)
Efficient Computation for Invertibility Sequence of Banded Toeplitz Matrices
by: Wang, Chen, et al.
Published: (2024)
by: Wang, Chen, et al.
Published: (2024)
Joint Approximate Partial Diagonalization of Large Matrices
by: Seghouane, Abd-Krim, et al.
Published: (2024)
by: Seghouane, Abd-Krim, et al.
Published: (2024)
Optimal Sensor Placement in Gaussian Processes via Column Subset Selection
by: Chen, Jessie, et al.
Published: (2026)
by: Chen, Jessie, et al.
Published: (2026)
CUR Low Rank Approximation of a Matrix at Sublinear Cost
by: Go, Soo, et al.
Published: (2019)
by: Go, Soo, et al.
Published: (2019)
Determinants and Inverses of banded Toeplitz Matrices over $\mathbb{F}_p$ Are Periodic
by: Wang, Chen, et al.
Published: (2024)
by: Wang, Chen, et al.
Published: (2024)
Greedy Rational Approximation for Frequency-Domain Model Reduction of Parametric LTI Systems
by: Bělík, Filip, et al.
Published: (2025)
by: Bělík, Filip, et al.
Published: (2025)
Fast Spectrum Estimation of Some Kernel Matrices
by: Lepilov, Mikhail
Published: (2024)
by: Lepilov, Mikhail
Published: (2024)
A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation
by: Buser, Elle, et al.
Published: (2026)
by: Buser, Elle, et al.
Published: (2026)
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)
by: Ozsar, Ege, et al.
Published: (2022)
by: Ozsar, Ege, et al.
Published: (2022)
Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices
by: Ahmadi-Asl, Salman, et al.
Published: (2025)
by: Ahmadi-Asl, Salman, et al.
Published: (2025)
Variational Matrix-Learning Fourier Networks for Parametric Multiphysics Surrogates
by: Li, Xinyu, et al.
Published: (2026)
by: Li, Xinyu, et al.
Published: (2026)
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
by: Chen, Haoyuan, et al.
Published: (2025)
by: Chen, Haoyuan, et al.
Published: (2025)
Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices
by: Hrobat, Francesco, et al.
Published: (2026)
by: Hrobat, Francesco, et al.
Published: (2026)
Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
by: Xu, Weiwei, et al.
Published: (2026)
by: Xu, Weiwei, et al.
Published: (2026)
Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices
by: Xiao, Chuanfu, et al.
Published: (2025)
by: Xiao, Chuanfu, et al.
Published: (2025)
Approximations with Non-Symmetric Green's Kernels and their Application to Fractional Differential Equations
by: Fisher, Nick
Published: (2026)
by: Fisher, Nick
Published: (2026)
Approximating the Perfect Sampling Grids for Computing the Eigenvalues of Toeplitz-like Matrices Using the Spectral Symbol
by: Ekström, Sven-Erik
Published: (2019)
by: Ekström, Sven-Erik
Published: (2019)
Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions
by: Singh, Navjot, et al.
Published: (2026)
by: Singh, Navjot, et al.
Published: (2026)
Block Diagonalization of Quaternion Circulant Matrices with Applications
by: Pan, Junjun, et al.
Published: (2023)
by: Pan, Junjun, et al.
Published: (2023)
Scientific Applications Leveraging Randomized Linear Algebra
by: Patel, Vivak, et al.
Published: (2025)
by: Patel, Vivak, et al.
Published: (2025)
Approximating Sparse Matrices and their Functions using Matrix-vector products
by: Park, Taejun, et al.
Published: (2023)
by: Park, Taejun, et al.
Published: (2023)
An Efficient Exponential Sum Approximation of Power-Law Kernels for Solving Fractional Differential Equation
by: Chaudhary, Renu, et al.
Published: (2025)
by: Chaudhary, Renu, et al.
Published: (2025)
Hierarchical Alternating Least Squares Methods for Quaternion Nonnegative Matrix Factorizations
by: Pan, Junjun
Published: (2024)
by: Pan, Junjun
Published: (2024)
Sublinear Time Low-Rank Approximation of Hankel Matrices
by: Kapralov, Michael, et al.
Published: (2025)
by: Kapralov, Michael, et al.
Published: (2025)
Similar Items
-
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024) -
Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation
by: Subrahmanya, Amit N., et al.
Published: (2024) -
Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024) -
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
by: Alexanderian, Alen, et al.
Published: (2025) -
Many (most?) column subset selection criteria are NP hard for a few columns
by: Ipsen, Ilse C. F., et al.
Published: (2025)