Copertina

Error Guarantees for Least Squares Approximation with Noisy Samples in Domain Adaptation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Bartel, Felix
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Numerical Analysis 41A10, 41A25, 41A60, 41A63, 42C10, 65Txx, 65F22, 65D15, 95A20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multivariate confluent Vandermonde with G-Arnoldi and applications
di: Zhang, Lei-Hong, et al.
Pubblicazione: (2024)

Surrogate to Poincaré inequalities on manifolds for structured dimension reduction in nonlinear feature spaces
di: Pasco, Alexandre, et al.
Pubblicazione: (2026)

Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples
di: Adcock, Ben, et al.
Pubblicazione: (2023)

Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces
di: Nouy, Anthony, et al.
Pubblicazione: (2025)

Multivariate Interpolation in Unisolvent Nodes -- Lifting the Curse of Dimensionality
di: Hecht, Michael, et al.
Pubblicazione: (2020)

Quasi-interpolation for high-dimensional function approximation
di: Gao, Wenwu, et al.
Pubblicazione: (2024)

Approximation by quadrilateral finite elements
di: Arnold, Douglas N., et al.
Pubblicazione: (2000)

Refinement-based Christoffel sampling for least squares approximation in non-orthogonal bases
di: Herremans, Astrid, et al.
Pubblicazione: (2025)

Reconstruction Plans and Efficient Rank-1 Lattice Construction for Chebyshev Expansions Over Lower Sets
di: Moussa, Abdelqoddous, et al.
Pubblicazione: (2024)

Hyperinterpolation beyond exact cubature: a spectral multiplier approach
di: Wu, Hao-Ning
Pubblicazione: (2026)

An Optimal Weighted Least-Squares Method for Operator Learning
di: Turnage, John, et al.
Pubblicazione: (2025)

On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data
di: Griebel, Michael, et al.
Pubblicazione: (2024)

Optimal convergence of local discontinuous Galerkin methods for convection-diffusion equations
di: Liu, Wenjie, et al.
Pubblicazione: (2026)

Error bounds for numerical differentiation using kernels of finite smoothness
di: Davydov, Oleg
Pubblicazione: (2025)

Sparse and low-rank approximations of parametric elliptic PDEs: the best of both worlds
di: Bachmayr, Markus, et al.
Pubblicazione: (2025)

Function values are enough for $L_2$-approximation: Part II
di: Krieg, David, et al.
Pubblicazione: (2020)

Construction of Optimal Algorithms for Function Approximation in Gaussian Sobolev Spaces
di: Suzuki, Yuya, et al.
Pubblicazione: (2024)

A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields
di: Bachmayr, Markus, et al.
Pubblicazione: (2024)

Adaptive stochastic Galerkin finite element methods: Optimality and non-affine coefficients
di: Bachmayr, Markus, et al.
Pubblicazione: (2025)

Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains
di: van Harten, Wouter, et al.
Pubblicazione: (2023)

A Semi-Lagrangian scheme on embedded manifolds using generalized local polynomial reproductions
di: Hangelbroek, Thomas, et al.
Pubblicazione: (2025)

Comparative study on higher order compact RBF-FD formulas with Gaussian and Multiquadric radial functions
di: Yadav, Manoj Kumar, et al.
Pubblicazione: (2024)

Constructive Approximation of High-Dimensional Functions with Small Efficient Dimension with Applications in Uncertainty Quantification
di: Rieger, Christian, et al.
Pubblicazione: (2024)

Function Approximation in Numerically Rank-Deficient Bases
di: Herremans, Astrid, et al.
Pubblicazione: (2025)

Entropy-based convergence rates of greedy algorithms
di: Li, Yuwen, et al.
Pubblicazione: (2023)

On the deterioration of convergence rate of spectral differentiations for functions with singularities
di: Wang, Haiyong
Pubblicazione: (2025)

A lattice algorithm with multiple shifts for function approximation in Korobov spaces
di: Cai, Mou, et al.
Pubblicazione: (2025)

Convergence analysis of Hermite approximations for analytic functions
di: Wang, Haiyong, et al.
Pubblicazione: (2023)

Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation
di: Dũng, Dinh
Pubblicazione: (2025)

Learning and Leveraging Anisotropy Parameters in ANOVA Approximation
di: Bartel, Felix, et al.
Pubblicazione: (2025)

Multivariate Splines and Their Applications
di: Lai, Ming-Jun
Pubblicazione: (2024)

Weighted least $\ell_p$ approximation on compact Riemannian manifolds
di: Li, Jiansong, et al.
Pubblicazione: (2024)

Polynomial quasi-Trefftz DG for PDEs with smooth coefficients: elliptic problems
di: Imbert-Gérard, Lise-Marie, et al.
Pubblicazione: (2024)

Discontinuous piecewise polynomial approximation on non-Lipschitz domains
di: Hewett, D P
Pubblicazione: (2025)

A refined CJ--SS--RR method with a reliable removal approach of spurious Ritz values for the Hermitian eigenvalue problem
di: Jia, Zhongxiao, et al.
Pubblicazione: (2026)

A Chebyshev--Jackson series based block SS--RR algorithm for computing partial eigenpairs of real symmetric matrices
di: Jia, Zhongxiao, et al.
Pubblicazione: (2025)

Multivariate Data-dependent Partition of Unity based on Moving Least Squares method
di: Garcés, Inmaculada, et al.
Pubblicazione: (2026)

Polynomial approximation on $C^2$-domains
di: Dai, Feng, et al.
Pubblicazione: (2022)

Function recovery on manifolds using scattered data
di: Krieg, David, et al.
Pubblicazione: (2021)

Lattice algorithms for multivariate approximation in periodic spaces with general weight parameters
di: Cools, Ronald, et al.
Pubblicazione: (2019)