Research map / Learning theory and algorithms / Kernels and regression theory
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add input warping to stationary SSGPR (ablation) | SSWIM · real-world datasets | RMSE | Helped |
| Add a second input-warping level (ablation) | SSWIM · real-world datasets | RMSE: 3.05 ± 0.26 -> 3.01 ± 0.31 (concrete); 7.63 ± 0.20 -> 7.55 ± 0.15 (parkinsons); 0.13 ± 0.04 -> 0.11 ± 0.03 (bikeshare); | Helped |
| Add a second input-warping level (ablation) | SSWIM · concrete | MNLP: 10.22 ± 4.15 -> 5.19 ± 2.59 | Helped |
| Add a second input-warping level (ablation) | SSWIM · parkinsons | MNLP: 11.95 ± 0.47 -> 12.50 ± 0.44 | Hurt |
| Add a second input-warping level (ablation) | SSWIM · bikeshare | MNLP: -11.89 ± 0.15 -> -11.78 ± 0.07 | Helped |
| Add a second input-warping level (ablation) | SSWIM · ct slice | MNLP: -11.24 ± 0.05 -> -11.79 ± 0.02 | Helped |
| Add a second input-warping level (ablation) | SSWIM · supercond | MNLP: 3.55 ± 0.32 -> 2.82 ± 0.29 | Helped |
| Add a second input-warping level (ablation) | SSWIM · protein | MNLP: 8.95 ± 0.12 -> 8.82 ± 0.15 | Helped |
| Add a second input-warping level (ablation) | SSWIM · buzz | MNLP: 2.03 ± 0.13 -> -0.09 ± 0.04 | Helped |
| Add a second input-warping level (ablation) | SSWIM · song | MNLP: 12.08 ± 0.05 -> 11.93 ± 0.04 | Helped |
Closest papers by meaning
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