Treatment Effect Estimation on HC-MNIST
0.513rPEHE (Output)Oracle
Evaluation Results
| Method | Links | |
|---|---|---|
| Oracle2025.09 | 0.513 | |
| dOAR Dropout (p˜m; p = 0.3)Meta-learner=R-learner2025.09 | 0.687 | |
| dOAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=R-learner2025.09 | 0.695 | |
| OAR Dropout (p˜m; p = 0.3)Meta-learner=R-learner2025.09 | 0.696 | |
| OAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=R-learner2025.09 | 0.696 | |
| dOAR Dropout (p˜m; p = 0.3)Meta-learner=DR-learner2025.09 | 0.705 | |
| dOAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=DR-learner2025.09 | 0.712 | |
| OAR Dropout (p˜m; p = 0.3)Meta-learner=DR-learner2025.09 | 0.713 | |
| Trimming (t = 0.2)Meta-learner=DR-learner2025.09 | 0.714 | |
| Balancing (α = 0.5; MMD)Meta-learner=DR-learner2025.09 | 0.721 | |
| OAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=DR-learner2025.09 | 0.726 | |
| Trimming (t = 0.05)Meta-learner=R-learner2025.09 | 0.731 | |
| Trimming (t = 0.1)Meta-learner=R-learner2025.09 | 0.731 | |
| Trimming (t = 0.2)Meta-learner=R-learner2025.09 | 0.731 | |
| Trimming (t = 0.1)Meta-learner=DR-learner2025.09 | 0.736 | |
| Trimming (t = 0.05)Meta-learner=DR-learner2025.09 | 0.754 | |
| Balancing (α = 0.5; MMD)Meta-learner=R-learner2025.09 | 0.78 | |
| Balancing (α = 5.0; MMD)Meta-learner=DR-learner2025.09 | 0.842 | |
| Balancing (α = 0.5; WM)Meta-learner=DR-learner2025.09 | 0.908 | |
| Balancing (α = 0.5; WM)Meta-learner=R-learner2025.09 | 0.946 | |
| Balancing (α = 5.0; WM)Meta-learner=R-learner2025.09 | 1.124 | |
| Balancing (α = 5.0; WM)Meta-learner=DR-learner2025.09 | 1.171 | |
| Balancing (α = 5.0; MMD)Meta-learner=R-learner2025.09 | 1.21 |