Co-occurring keywords · papers mentioning both
Papers
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
ICML 2025
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators
JMLR 2024
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator
JMLR 2024
Neural Operators with Localized Integral and Differential Kernels
ICML 2024
Quasi-Monte Carlo Features for Kernel Approximation
ICML 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
JMLR 2024
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
ICLR 2022
A Spectral Analysis of Dot-product Kernels
AISTATS 2021
Deep Equals Shallow for ReLU Networks in Kernel Regimes
ICLR 2021
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
NeurIPS 2019
On Learning with Integral Operators
JMLR 2010