Saved in:
| Main Authors: | Sun, Luwei, Shen, Dongrui, Li, Jianfe, Zhao, Yulong, Feng, Han |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.21242 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data
by: Griebel, Michael, et al.
Published: (2024)
by: Griebel, Michael, et al.
Published: (2024)
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
by: Davis, Owen, et al.
Published: (2024)
by: Davis, Owen, et al.
Published: (2024)
On the rates of pointwise convergence for Bernstein polynomials
by: Adell, José A., et al.
Published: (2024)
by: Adell, José A., et al.
Published: (2024)
Error Guarantees for Least Squares Approximation with Noisy Samples in Domain Adaptation
by: Bartel, Felix
Published: (2022)
by: Bartel, Felix
Published: (2022)
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
by: Opschoor, Joost A. A., et al.
Published: (2023)
by: Opschoor, Joost A. A., et al.
Published: (2023)
Optimal convergence of local discontinuous Galerkin methods for convection-diffusion equations
by: Liu, Wenjie, et al.
Published: (2026)
by: Liu, Wenjie, et al.
Published: (2026)
Approximation Rates for Shallow ReLU$^k$ Neural Networks on Sobolev Spaces via the Radon Transform
by: Mao, Tong, et al.
Published: (2024)
by: Mao, Tong, et al.
Published: (2024)
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces
by: Siegel, Jonathan W.
Published: (2022)
by: Siegel, Jonathan W.
Published: (2022)
Efficient Approximation to Analytic and $L^p$ functions by Height-Augmented ReLU Networks
by: Li, ZeYu, et al.
Published: (2026)
by: Li, ZeYu, et al.
Published: (2026)
Higher Order Approximation of Functions by Modified Goodman-Sharma Operators
by: Gadjev, Ivan, et al.
Published: (2024)
by: Gadjev, Ivan, et al.
Published: (2024)
Strong Converse Inequalities for Bernstein Polynomials with Explicit Asymptotic Constants
by: Adell, José A., et al.
Published: (2024)
by: Adell, José A., et al.
Published: (2024)
On the Local Structure and Approximation Stability of Block Isotropic Gaussian Fields
by: Jeong, Munki, et al.
Published: (2025)
by: Jeong, Munki, et al.
Published: (2025)
Approximation of discontinuous functions by positive linear operators. A probabilistic approach
by: Adell, José A., et al.
Published: (2024)
by: Adell, José A., et al.
Published: (2024)
Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators
by: Saini, Sachin, et al.
Published: (2025)
by: Saini, Sachin, et al.
Published: (2025)
On Better Approximation Order for the Max-Product Meyer-König and Zeller Operator
by: Dogru, Sezin Çit Ogun
Published: (2023)
by: Dogru, Sezin Çit Ogun
Published: (2023)
Higher Order Approximation of Continuous Functions by a Modified Meyer-König and Zeller-Type Operator
by: Gadjev, Ivan, et al.
Published: (2025)
by: Gadjev, Ivan, et al.
Published: (2025)
On the growth of the parameters of approximating ReLU neural networks
by: Morina, Erion, et al.
Published: (2024)
by: Morina, Erion, et al.
Published: (2024)
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
by: Ou, Weigutian, et al.
Published: (2024)
by: Ou, Weigutian, et al.
Published: (2024)
Function values are enough for $L_2$-approximation: Part II
by: Krieg, David, et al.
Published: (2020)
by: Krieg, David, et al.
Published: (2020)
A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields
by: Bachmayr, Markus, et al.
Published: (2024)
by: Bachmayr, Markus, et al.
Published: (2024)
Adaptive stochastic Galerkin finite element methods: Optimality and non-affine coefficients
by: Bachmayr, Markus, et al.
Published: (2025)
by: Bachmayr, Markus, et al.
Published: (2025)
On a New Modification of Baskakov Operators with Higher Order of Approximation
by: Gadjev, Ivan, et al.
Published: (2024)
by: Gadjev, Ivan, et al.
Published: (2024)
Ridge Kernel Averaging and Uniform Approximation
by: Tian, James
Published: (2025)
by: Tian, James
Published: (2025)
The Probabilistic Foundations of Surveillance Failure: From False Alerts to Structural Bias
by: Pollanen, Marco
Published: (2025)
by: Pollanen, Marco
Published: (2025)
Orthogonal polynomials in the normal matrix model with two insertions
by: Kieburg, Mario, et al.
Published: (2024)
by: Kieburg, Mario, et al.
Published: (2024)
Function values are enough for $L_2$-approximation
by: Krieg, David, et al.
Published: (2019)
by: Krieg, David, et al.
Published: (2019)
Approximation by quadrilateral finite elements
by: Arnold, Douglas N., et al.
Published: (2000)
by: Arnold, Douglas N., et al.
Published: (2000)
Kantorovich-Type Stochastic Neural Network Operators for the Mean-Square Approximation of Certain Second-Order Stochastic Processes
by: Saini, Sachin, et al.
Published: (2026)
by: Saini, Sachin, et al.
Published: (2026)
Tight bounds on Poisson tails with applications to Szász-Mirakyan operators
by: Adell, José A., et al.
Published: (2025)
by: Adell, José A., et al.
Published: (2025)
Rough Functional Itô Formula
by: Bielert, Franziska
Published: (2024)
by: Bielert, Franziska
Published: (2024)
On the deterioration of convergence rate of spectral differentiations for functions with singularities
by: Wang, Haiyong
Published: (2025)
by: Wang, Haiyong
Published: (2025)
Orthogonal polynomials in the spherical ensemble with two insertions
by: Byun, Sung-Soo, et al.
Published: (2025)
by: Byun, Sung-Soo, et al.
Published: (2025)
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data
by: Siegel, Jonathan W.
Published: (2023)
by: Siegel, Jonathan W.
Published: (2023)
ReLU neural network approximation to piecewise constant functions
by: Cai, Zhiqiang, et al.
Published: (2024)
by: Cai, Zhiqiang, et al.
Published: (2024)
Shallow ReLU$^s$ Networks in $L^p$-Type and Sobolev Spaces: Approximation and Path-Norm Controlled Generalization
by: Li, Weizhao, et al.
Published: (2026)
by: Li, Weizhao, et al.
Published: (2026)
Riemann-Liouville type fractional a new generalization of Bernstein-Kantorovich operators
by: Aslan, Reşat
Published: (2025)
by: Aslan, Reşat
Published: (2025)
Optimal asymptotic analyses on Laguerre and Hermite orthogonal approximation for functions of algebraic and logarithmic regularitiesYali
by: Zhang, Yali, et al.
Published: (2026)
by: Zhang, Yali, et al.
Published: (2026)
Max-Min Neural Network Operators For Approximation of Multivariate Functions
by: Yadav, Abhishek, et al.
Published: (2026)
by: Yadav, Abhishek, et al.
Published: (2026)
Approximation of generalized Wiener classes of functions of several variables in different metrics
by: Shidlich, Andrii
Published: (2026)
by: Shidlich, Andrii
Published: (2026)
High-dimensional normal approximations for sums of Langevin Markov chains
by: Shen, Tian, et al.
Published: (2025)
by: Shen, Tian, et al.
Published: (2025)
Similar Items
-
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data
by: Griebel, Michael, et al.
Published: (2024) -
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
by: Davis, Owen, et al.
Published: (2024) -
On the rates of pointwise convergence for Bernstein polynomials
by: Adell, José A., et al.
Published: (2024) -
Error Guarantees for Least Squares Approximation with Noisy Samples in Domain Adaptation
by: Bartel, Felix
Published: (2022) -
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
by: Opschoor, Joost A. A., et al.
Published: (2023)