Fourier Sparse Leverage Scores and Approximate Kernel Learning.
Tamás ErdélyiCameron MuscoChristopher MuscoPublished in: NeurIPS (2020)
Keyphrases
- kernel learning
- kernel matrices
- multiple kernel
- kernel function
- kernel matrix
- support vector regression
- multiple kernel learning
- semi supervised
- high dimensional
- dimensionality reduction
- kernel methods
- semidefinite program
- pairwise constraints
- learning tasks
- metric learning
- distance metric
- semi supervised learning
- pairwise
- feature selection
- multi task learning
- high order
- unsupervised learning
- training data