Non-parametric Instrumental Variable (NPIV) Estimation on NPIV RBF kernel
0.289RMSEOrder 0 (Kernel Ridge Regression)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Order 0 (Kernel Ridge Regression)beta=0.7, d=17, n=802026.05 | 0.289 | — | |
| Perturbative NPIVbeta=0.7, d=17, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.289 | 0 | |
| Order 0 (Kernel Ridge Regression)beta=0.3, d=3, n=802026.05 | 0.317 | — | |
| Perturbative NPIVbeta=0.3, d=3, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.318 | 20 | |
| Order 0 (Kernel Ridge Regression)beta=1.0, d=60, n=802026.05 | 0.36 | — | |
| Perturbative NPIVbeta=1.0, d=60, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.36 | 0 | |
| Order 0 (Kernel Ridge Regression)beta=1.5, d=464, n=802026.05 | 0.465 | — | |
| Perturbative NPIVbeta=1.5, d=464, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.465 | 0 | |
| Order 0 (Kernel Ridge Regression)beta=1.3, d=204, n=802026.05 | 0.511 | — | |
| Perturbative NPIVbeta=1.3, d=204, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.511 | 0 | |
| Order 0 (Kernel Ridge Regression)beta=0.5, d=7, n=802026.05 | 0.536 | — | |
| Perturbative NPIVbeta=0.5, d=7, n=80, gamma=best among {0.4, 0.6, 0.8, 0.99}2026.05 | 0.536 | 0 |