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ResearchFormerly WizWand

Conditional Average Treatment Effect Estimation on Linear design N1=500

0.07sqrt(PEHE)GP-CATE
0.04760.19880.350.5012May 26, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GP-CATEN0=5002026.050.07
X-LearnerN0=5002026.050.11
GP-CATEN0=1002026.050.13
BARTN0=5002026.050.15
Causal ForestN0=5002026.050.16
S-LearnerN0=5002026.050.18
DR-Learner (unweighted)N0=5002026.050.18
BARTN0=1002026.050.2
X-LearnerN0=1002026.050.23
BARTN0=302026.050.23
S-LearnerN0=1002026.050.24
Causal ForestN0=1002026.050.24
T-LearnerN0=5002026.050.27
GP-CATEN0=302026.050.29
Causal ForestN0=302026.050.31
S-LearnerN0=302026.050.36
T-LearnerN0=1002026.050.37
T-LearnerN0=302026.050.46
DR-Learner (unweighted)N0=1002026.050.49
X-LearnerN0=302026.050.58
DR-Learner (unweighted)N0=302026.050.63