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ResearchFormerly WizWand

Treatment Effect Estimation on HC-MNIST

0.513rPEHE (Output)Oracle
0.485120.673310.86151.04969Sep 29, 2025
Updated 7mo ago

Evaluation results

MethodLinks
Oracle2025.090.513
dOAR Dropout (p˜m; p = 0.3)Meta-learner=R-learner2025.090.687
dOAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=R-learner2025.090.695
OAR Dropout (p˜m; p = 0.3)Meta-learner=R-learner2025.090.696
OAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=R-learner2025.090.696
dOAR Dropout (p˜m; p = 0.3)Meta-learner=DR-learner2025.090.705
dOAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=DR-learner2025.090.712
OAR Dropout (p˜m; p = 0.3)Meta-learner=DR-learner2025.090.713
Trimming (t = 0.2)Meta-learner=DR-learner2025.090.714
Balancing (α = 0.5; MMD)Meta-learner=DR-learner2025.090.721
OAR Noise reg. (λ˜m; λ = 0.1)Meta-learner=DR-learner2025.090.726
Trimming (t = 0.05)Meta-learner=R-learner2025.090.731
Trimming (t = 0.1)Meta-learner=R-learner2025.090.731
Trimming (t = 0.2)Meta-learner=R-learner2025.090.731
Trimming (t = 0.1)Meta-learner=DR-learner2025.090.736
Trimming (t = 0.05)Meta-learner=DR-learner2025.090.754
Balancing (α = 0.5; MMD)Meta-learner=R-learner2025.090.78
Balancing (α = 5.0; MMD)Meta-learner=DR-learner2025.090.842
Balancing (α = 0.5; WM)Meta-learner=DR-learner2025.090.908
Balancing (α = 0.5; WM)Meta-learner=R-learner2025.090.946
Balancing (α = 5.0; WM)Meta-learner=R-learner2025.091.124
Balancing (α = 5.0; WM)Meta-learner=DR-learner2025.091.171
Balancing (α = 5.0; MMD)Meta-learner=R-learner2025.091.21