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Causal Effect Estimation on Synthetic Binary Treatment, d=200

0.1942MAEDDML-MLP
0.1341920.5392460.94431.349354May 24, 2026

Evaluation results

MethodLinks
DDML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.050.19420.2193
DDML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.050.26150.2747
DeR-CFR2026.050.28760.3219
FCCL2026.050.29990.316
CFR-wass2026.050.36970.4057
DIGNet2026.050.37840.4154
CFR-mmd2026.050.51910.531
DML-MLPNuisance Estimator=MLP, Cross-fitting=5-fold2026.050.57590.6005
BART2026.050.60410.6094
SITE2026.050.86670.8895
C-DML2026.051.13081.1872
DML-RFNuisance Estimator=RF, Cross-fitting=5-fold2026.051.47721.4798
OLS-12026.051.47961.4825
OLS-22026.051.48461.4875
KNN2026.051.69441.6965