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Causal Effect Estimation on Synthetic Binary Treatment, d=20

0.0488MAEDDML-MLP
-0.0295560.4993471.028251.557153May 24, 2026

Evaluation results

MethodLinks
DDML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.050.04880.0567
DDML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.050.07690.0922
FCCL2026.050.120.1534
DeR-CFR2026.050.15840.1727
DIGNet2026.050.19490.218
CFR-wass2026.050.20050.2377
CFR-mmd2026.050.20180.2421
SITE2026.050.25770.2892
C-DML2026.050.37550.4639
DML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.050.42920.4347
BART2026.050.93690.9558
KNN2026.051.66741.6873
DML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.051.93731.9687
OLS-12026.051.99492.0353
OLS-22026.052.00772.0479