Research map / Learning theory and algorithms / Matrix and tensor methods
Faster Kernel Matrix Algebra via Density Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use fast kernel density estimation rather than full matrix computations in the power method | Kernel noisy power method on Laplacian kernel matrices · Forest Covertype classes 3–7 and MNIST training set | accuracy versus number of kernel evaluations | Helped |
| Use fast kernel density estimation rather than uniform sampling for the KDE subroutine | Noisy power method · Forest Covertype classes 3–7 and MNIST training set | accuracy versus number of kernel evaluations | Helped |
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