On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels.
Amnon GeifmanMeirav GalunDavid JacobsRonen BasriPublished in: CoRR (2022)
Keyphrases
- gaussian process
- network architecture
- gaussian processes
- gaussian process classification
- covariance function
- reproducing kernel hilbert space
- regression model
- gaussian process regression
- hyperparameters
- neural network
- approximate inference
- bayesian framework
- model selection
- latent variables
- support vector
- gaussian process models
- semi supervised
- kernel function
- expectation propagation
- multiple kernel learning
- sparse approximations
- kernel methods
- cross validation
- image reconstruction
- decision trees