Copertina

Optimal Sensor Placement in Gaussian Processes via Column Subset Selection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Jessie, Ji, Hangjie, Saibaba, Arvind K.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Numerical Analysis 68W20, 65F40, 65F55, 60G15, 62K05
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bayesian D-Optimal Experimental Designs via Column Subset Selection
di: Eswar, Srinivas, et al.
Pubblicazione: (2024)

FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
di: Madhavan, Madhusudan, et al.
Pubblicazione: (2026)

Efficient error estimators for Generalized Nyström
di: Lazzarino, Lorenzo, et al.
Pubblicazione: (2026)

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

Algorithm-agnostic low-rank approximation of operator monotone matrix functions
di: Persson, David, et al.
Pubblicazione: (2023)

Efficient error and variance estimation for randomized matrix computations
di: Epperly, Ethan N., et al.
Pubblicazione: (2022)

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

Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
di: Saibaba, Arvind K., et al.
Pubblicazione: (2025)

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

Efficient Decomposition-Based Algorithms for $\ell_1$-Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices
di: Sweeney, Brian, et al.
Pubblicazione: (2024)

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

Detecting when one probe vector is enough for preconditioned log-determinant approximation
di: Cortinovis, Alice, et al.
Pubblicazione: (2026)

Improving Sketching Algorithms for Low-Rank Matrix Approximation via Sketch-Power Iterations
di: Chang, Chao, et al.
Pubblicazione: (2026)

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

Subset selection for matrices in spectral norm
di: Kozyrev, Ivan, et al.
Pubblicazione: (2025)

Subset selection for matrices by column exchange
di: Osinsky, Alexander, et al.
Pubblicazione: (2026)

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

Shifted Matrix-Sign Reflectors for Prescribed-Index Eigenspace Reflection
di: Zhao, Jin
Pubblicazione: (2026)

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
di: Matalon, Pierre, et al.
Pubblicazione: (2025)

Multifidelity sensor placement in Bayesian state estimation problems
di: Ramon, Gabriela, et al.
Pubblicazione: (2026)

Parameter Selection by GCV and a $χ^2$ test within Iterative Methods for $\ell_1$-regularized Inverse Problems
di: Sweeney, Brian, et al.
Pubblicazione: (2024)

Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization
di: Xu, Tianshi, et al.
Pubblicazione: (2025)

Parallel-in-time Multilevel Krylov Methods: A Prototype
di: Erlangga, Yogi A.
Pubblicazione: (2023)

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

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

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

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

A control-oriented approach to optimal sensor placement
di: Madhavan, Madhusudan, et al.
Pubblicazione: (2025)

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

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
di: Chen, Yifan, et al.
Pubblicazione: (2023)

Low-rank solutions to a class of parametrized systems using Riemannian optimization
di: Sutti, Marco, et al.
Pubblicazione: (2026)

Variable Projection Methods for Solving Regularized Separable Inverse Problems with Applications to Semi-Blind Image Deblurring
di: Salzer, Delfina B. Comerso, et al.
Pubblicazione: (2026)

Convergence Analysis of a Variable Projection Method for Regularized Separable Nonlinear Inverse Problems
di: Español, Malena I., et al.
Pubblicazione: (2024)

Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs
di: Alsubhi, Abdulmajeed, et al.
Pubblicazione: (2024)

CUR Matrix Approximation through Convex Optimization for Feature Selection
di: Linehan, Kathryn, et al.
Pubblicazione: (2025)

Make the most of what you have: Resource-efficient randomized algorithms for matrix computations
di: Epperly, Ethan N.
Pubblicazione: (2025)

Randomized algorithms for streaming low-rank approximation in tree tensor network format
di: Bucci, Alberto, et al.
Pubblicazione: (2024)

A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
di: Bucci, Alberto, et al.
Pubblicazione: (2024)

Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
di: Zhang, Yifan, et al.
Pubblicazione: (2025)

Low-rank approximation of parameter-dependent matrices via CUR decomposition
di: Park, Taejun, et al.
Pubblicazione: (2024)