Causal Effect Estimation on Synthetic Binary Treatment, d=200
0.1942MAEDDML-MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DDML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.05 | 0.1942 | 0.2193 | |
| DDML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.05 | 0.2615 | 0.2747 | |
| DeR-CFR2026.05 | 0.2876 | 0.3219 | |
| FCCL2026.05 | 0.2999 | 0.316 | |
| CFR-wass2026.05 | 0.3697 | 0.4057 | |
| DIGNet2026.05 | 0.3784 | 0.4154 | |
| CFR-mmd2026.05 | 0.5191 | 0.531 | |
| DML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.05 | 0.5759 | 0.6005 | |
| BART2026.05 | 0.6041 | 0.6094 | |
| SITE2026.05 | 0.8667 | 0.8895 | |
| C-DML2026.05 | 1.1308 | 1.1872 | |
| DML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.05 | 1.4772 | 1.4798 | |
| OLS-12026.05 | 1.4796 | 1.4825 | |
| OLS-22026.05 | 1.4846 | 1.4875 | |
| KNN2026.05 | 1.6944 | 1.6965 |