Kernel Interpolation with Sparse Grids.
Mohit YadavDaniel R. SheldonCameron MuscoPublished in: NeurIPS (2022)
Keyphrases
- sparse kernel
- sparse sampling
- additive models
- high dimensional
- kernel function
- image interpolation
- cubic convolution
- multiple kernel
- relevance vector machine
- regularized least squares
- interpolation method
- sparse representation
- feature space
- support vector
- sparse coding
- kernel methods
- gaussian processes
- kernel matrix
- sparse data
- kernel matrices
- kernel learning
- series expansion
- mutual subspace method
- sparse matrix
- kernel machines
- compressed sensing
- reproducing kernel hilbert space
- grid computing
- load balancing
- sparse regression
- support vector machine
- multiscale
- face recognition
- neural network