Causal Inference on Synthetic
0.652rPEHE (out)Oracle
Evaluation Results
| Method | Links | |
|---|---|---|
| Oracle2025.09 | 0.652 | |
| Balancing (α = 0.5; MMD)Meta-learner=R-learner2025.09 | 0.658 | |
| Balancing (α = 0.5; WM)Meta-learner=R-learner2025.09 | 0.658 | |
| Balancing (α = 5.0; MMD)Meta-learner=R-learner2025.09 | 0.658 | |
| Balancing (α = 5.0; WM)Meta-learner=R-learner2025.09 | 0.658 | |
| OAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=R-learner2025.09 | 0.689 | |
| dOAR Dropout (p̃m; p = 0.5)Meta-learner=R-learner2025.09 | 0.691 | |
| OAR Dropout (p̃m; p = 0.5)Meta-learner=R-learner2025.09 | 0.713 | |
| dOAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=R-learner2025.09 | 0.737 | |
| OAR Dropout (p̃m; p = 0.5)Meta-learner=DR-learner2025.09 | 0.815 | |
| dOAR Dropout (p̃m; p = 0.5)Meta-learner=DR-learner2025.09 | 0.828 | |
| Trimming (t = 0.05)Meta-learner=R-learner2025.09 | 0.837 | |
| Trimming (t = 0.1)Meta-learner=R-learner2025.09 | 0.837 | |
| Trimming (t = 0.2)Meta-learner=R-learner2025.09 | 0.837 | |
| OAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=DR-learner2025.09 | 0.853 | |
| dOAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=DR-learner2025.09 | 0.856 | |
| Balancing (α = 5.0; MMD)Meta-learner=DR-learner2025.09 | 0.878 | |
| Balancing (α = 0.5; MMD)Meta-learner=DR-learner2025.09 | 1.032 | |
| Balancing (α = 5.0; WM)Meta-learner=DR-learner2025.09 | 1.156 | |
| Balancing (α = 0.5; WM)Meta-learner=DR-learner2025.09 | 1.222 | |
| Trimming (t = 0.05)Meta-learner=DR-learner2025.09 | 1.306 | |
| Trimming (t = 0.1)Meta-learner=DR-learner2025.09 | 1.339 | |
| Trimming (t = 0.2)Meta-learner=DR-learner2025.09 | 1.353 |