Research map / Learning theory and algorithms / Kernels and regression theory
Distributed Nyström Kernel Learning with Communications
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add communication rounds (DKRR-NY-CM) to DKRR-NY (ablation) | DKRR-NY · Synthetic regression, Figure 1 | MSE vs partition count p | Helped |
| Increase number of communication rounds M from 2 to 8 (ablation) | DKRR-NY-CM · Synthetic regression, Figure 1 | upper bound on partitions p before MSE degrades | Helped |
| Use PCG in DKRR-NY-CM | DKRR-NY-CM · Theory and experiments | not evaluated | No clear effect |
| Use Nystrom-PCG with divide-and-conquer (DKRR-NY-PCG) with t >= O(log|D|) iterations | DKRR-NY-PCG · Theory | expected excess risk rate | No clear effect |
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