conftrace_

sobolev space

19 papers

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Co-occurring keywords

reproducing kernel hilbert space (334) convergence rate (607) minimax rate (87) nonparametric regression (111) positive definite kernel (17) kernel quadrature (7) kernel methods (1097) approximation theory (77) random feature (89) numerical integration (40)

Papers

Towards Unified Native Spaces in Kernel Methods JMLR 2025
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024
Diffusion Generative Models in Infinite Dimensions AISTATS 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces JMLR 2023
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022
Approximation with CNNs in Sobolev Space: with Applications to Classification NIPS 2022
Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021
Non-asymptotic Analysis for Nonparametric Testing COLT 2020
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion CVPR 2018
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017
Convergence guarantees for kernel-based quadrature rules in misspecified settings NIPS 2016
Scrambled Objects for Least-Squares Regression NIPS 2010
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008