Conditional Average Treatment Effect Estimation on Linear design N1=500
0.07sqrt(PEHE)GP-CATE
Evaluation Results
| Method | Links | |
|---|---|---|
| GP-CATEN0=5002026.05 | 0.07 | |
| X-LearnerN0=5002026.05 | 0.11 | |
| GP-CATEN0=1002026.05 | 0.13 | |
| BARTN0=5002026.05 | 0.15 | |
| Causal ForestN0=5002026.05 | 0.16 | |
| S-LearnerN0=5002026.05 | 0.18 | |
| DR-Learner (unweighted)N0=5002026.05 | 0.18 | |
| BARTN0=1002026.05 | 0.2 | |
| X-LearnerN0=1002026.05 | 0.23 | |
| BARTN0=302026.05 | 0.23 | |
| S-LearnerN0=1002026.05 | 0.24 | |
| Causal ForestN0=1002026.05 | 0.24 | |
| T-LearnerN0=5002026.05 | 0.27 | |
| GP-CATEN0=302026.05 | 0.29 | |
| Causal ForestN0=302026.05 | 0.31 | |
| S-LearnerN0=302026.05 | 0.36 | |
| T-LearnerN0=1002026.05 | 0.37 | |
| T-LearnerN0=302026.05 | 0.46 | |
| DR-Learner (unweighted)N0=1002026.05 | 0.49 | |
| X-LearnerN0=302026.05 | 0.58 | |
| DR-Learner (unweighted)N0=302026.05 | 0.63 |