Causal Effect Estimation on Synthetic Binary Treatment, d=20
0.0488MAEDDML-MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DDML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.05 | 0.0488 | 0.0567 | |
| DDML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.05 | 0.0769 | 0.0922 | |
| FCCL2026.05 | 0.12 | 0.1534 | |
| DeR-CFR2026.05 | 0.1584 | 0.1727 | |
| DIGNet2026.05 | 0.1949 | 0.218 | |
| CFR-wass2026.05 | 0.2005 | 0.2377 | |
| CFR-mmd2026.05 | 0.2018 | 0.2421 | |
| SITE2026.05 | 0.2577 | 0.2892 | |
| C-DML2026.05 | 0.3755 | 0.4639 | |
| DML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.05 | 0.4292 | 0.4347 | |
| BART2026.05 | 0.9369 | 0.9558 | |
| KNN2026.05 | 1.6674 | 1.6873 | |
| DML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.05 | 1.9373 | 1.9687 | |
| OLS-12026.05 | 1.9949 | 2.0353 | |
| OLS-22026.05 | 2.0077 | 2.0479 |