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ResearchFormerly WizWand

Causal Inference on Synthetic

0.652rPEHE (out)Oracle
0.623960.813231.00251.19177Sep 29, 2025
Updated 7mo ago

Evaluation results

MethodLinks
Oracle2025.090.652
Balancing (α = 0.5; MMD)Meta-learner=R-learner2025.090.658
Balancing (α = 0.5; WM)Meta-learner=R-learner2025.090.658
Balancing (α = 5.0; MMD)Meta-learner=R-learner2025.090.658
Balancing (α = 5.0; WM)Meta-learner=R-learner2025.090.658
OAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=R-learner2025.090.689
dOAR Dropout (p̃m; p = 0.5)Meta-learner=R-learner2025.090.691
OAR Dropout (p̃m; p = 0.5)Meta-learner=R-learner2025.090.713
dOAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=R-learner2025.090.737
OAR Dropout (p̃m; p = 0.5)Meta-learner=DR-learner2025.090.815
dOAR Dropout (p̃m; p = 0.5)Meta-learner=DR-learner2025.090.828
Trimming (t = 0.05)Meta-learner=R-learner2025.090.837
Trimming (t = 0.1)Meta-learner=R-learner2025.090.837
Trimming (t = 0.2)Meta-learner=R-learner2025.090.837
OAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=DR-learner2025.090.853
dOAR Noise reg. (λ̃m; λ = 1.0)Meta-learner=DR-learner2025.090.856
Balancing (α = 5.0; MMD)Meta-learner=DR-learner2025.090.878
Balancing (α = 0.5; MMD)Meta-learner=DR-learner2025.091.032
Balancing (α = 5.0; WM)Meta-learner=DR-learner2025.091.156
Balancing (α = 0.5; WM)Meta-learner=DR-learner2025.091.222
Trimming (t = 0.05)Meta-learner=DR-learner2025.091.306
Trimming (t = 0.1)Meta-learner=DR-learner2025.091.339
Trimming (t = 0.2)Meta-learner=DR-learner2025.091.353