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sobolev norm

11 papers

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Co-occurring keywords · papers mentioning both

reproducing kernel hilbert space (3) interpolation space (2) frequency bia (2) learning rate (2) conditional mean embedding (1) fisher divergence (1) quadrature rule (1) overparameterized neural network (1) finite sample bound (1) banach space (1)

Papers

Tuning Frequency Bias of State Space Models ICLR 2025 Sobolev Space Regularised Pre Density Models ICML 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 Tuning Frequency Bias in Neural Network Training with Nonuniform Data ICLR 2023 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NeurIPS 2022 Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022 Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation ICML 2022 On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020 Banach Wasserstein GAN NeurIPS 2018 Efficient Nonparametric Smoothness Estimation NeurIPS 2016