sobolev space

Minimax density estimation in the adversarial framework under local differential privacy JMLR 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025 Towards Unified Native Spaces in Kernel Methods JMLR 2025 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 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm 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 Approximation with CNNs in Sobolev Space: with Applications to Classification NeurIPS 2022 Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022 Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 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 NeurIPS 2016 Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers NeurIPS 2016 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NeurIPS 2009 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008