Co-occurring keywords · papers mentioning both
Papers
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
ICML 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Conditional Gradients for the Approximately Vanishing Ideal
AISTATS 2022
Strong Memory Lower Bounds for Learning Natural Models
COLT 2022
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
AAAI 2021
Scalable Non-linear Learning with Adaptive Polynomial Expansions
NeurIPS 2014
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
JMLR 2010