Average Treatment Effect Estimation on IHDP, ACIC, and Lalonde 2016 benchmark leaderboard · SOTA2 Research

Average Treatment Effect Estimation on IHDP, ACIC, and Lalonde 2016

0.08ATE Error (IHDP)Forest DML

Evaluation Results

Method	Links
Forest DML2025.06		0.08	0.05	1.03	1.05	9.6
X-Learner2025.06		0.16	0.03	0.84	0.72	7.31
Forest DR Learner2025.06		0.17	0.04	1.2	3.64	8.38
GRF2025.06		0.18	0.07	0.82	0.85	8.02
CausalPFN2025.06		0.2	0.05	0.13	0.22	4.45
DragonNet2025.06		0.2	0.06	0.55	0.47	6.26
RA-Net2025.06		0.2	0.07	0.74	0.5	6.78
TarNet2025.06		0.2	0.05	1	0.78	8.83
S-Learner2025.06		0.2	0.03	0.97	0.9	8.85
T-Learner2025.06		0.21	0.03	0.24	0.16	4.31
DA-Learner2025.06		0.23	0.03	0.27	0.2	4.83
IPW2025.06		0.24	0.21	0.17	0.1	4.41
BART2025.06		0.44	0.04	0.99	0.86	8.99