Faster Kernel Matrix Algebra via Density Estimation.
Arturs BackursPiotr IndykCameron MuscoTal WagnerPublished in: ICML (2021)
Keyphrases
- density estimation
- kernel matrix
- kernel methods
- reproducing kernel hilbert space
- kernel function
- low rank
- metric learning
- model selection
- mixture model
- feature space
- probability density function
- ls svm
- training samples
- support vectors
- input space
- outlier detection
- gaussian mixture model
- em algorithm
- support vector machine
- support vector
- learning algorithm
- cross validation
- bayesian networks