Individual Treatment Effect Estimation on IHDP (within-sample)
0.31Sqrt PEHERepflow
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Repflow2026.05 | 0.31 | 0.08 | |
| POflow2026.05 | 0.41 | 0.07 | |
| SITEEvaluation protocol=in-sample, Number of realizations=102019.06 | 0.604 | — | |
| SITEEvaluation=in-sample, Repeats=102019.06 | 0.604 | — | |
| CFR-WEvaluation protocol=in-sample, Number of realizations=102019.06 | 0.649 | — | |
| CFR-WEvaluation=in-sample, Repeats=102019.06 | 0.649 | — | |
| CFR-MEvaluation protocol=in-sample, Number of realizations=102019.06 | 0.663 | — | |
| CIBEvaluation protocol=in-sample, Number of realizations=102019.06 | 0.663 | — | |
| CFR-MEvaluation=in-sample, Repeats=102019.06 | 0.663 | — | |
| CIBEvaluation=in-sample, Repeats=102019.06 | 0.663 | — | |
| CFR WASSdistance_metric=Wasserstein2016.06 | 0.71 | 0.25 | |
| CFRW2026.05 | 0.71 | 0.25 | |
| T-learner2026.05 | 0.72 | 0.1 | |
| TARNETEvaluation protocol=in-sample, Number of realizations=102019.06 | 0.729 | — | |
| TARNETEvaluation=in-sample, Repeats=102019.06 | 0.729 | — | |
| CFR MMDdistance_metric=MMD2016.06 | 0.73 | 0.3 | |
| DR-learner2026.05 | 0.74 | 0.17 | |
| H-learnerbase_learner=X-learner2025.06 | 0.78 | — | |
| DiffPO2026.05 | 0.79 | 0.16 | |
| X-learner2025.06 | 0.79 | — | |
| TARNet2025.06 | 0.81 | — | |
| H-learnerbase_learner=DR-learner2025.06 | 0.81 | — | |
| TARNET2016.06 | 0.88 | 0.26 | |
| T-learner2025.06 | 0.97 | — | |
| DR-learner2025.06 | 0.98 | — | |
| SITE-WEvaluation=in-sample, Repeats=102019.06 | 0.993 | — | |
| S-learner2026.05 | 1.1 | 0.21 | |
| SITE-MEvaluation=in-sample, Repeats=102019.06 | 1.162 | — | |
| FlexTENet2025.06 | 1.18 | — | |
| TARNet-WRRegularization=Weight Regularization2025.06 | 1.19 | — | |
| GANITEEvaluation=in-sample, Repeats=102019.06 | 1.9 | — | |
| GANITE2026.05 | 1.9 | 0.24 | |
| PIPCFR (MMD)Method Category=Ours, Variant=MMD2025.12 | 1.96 | — | |
| k-NN2016.06 | 2.1 | 0.14 | |
| BART2016.06 | 2.1 | 0.23 | |
| OffsetNetRegularization=Reparametrization2025.06 | 2.11 | — | |
| BNN2016.06 | 2.2 | 0.37 | |
| PIPCFR (WASS)Method Category=Ours, Variant=WASS2025.12 | 2.27 | — | |
| OLS/LR-22016.06 | 2.4 | 0.14 | |
| HSIC-NNMEvaluation=in-sample, Repeats=102019.06 | 2.439 | — | |
| CEVAEEvaluation protocol=in-sample, Number of realizations=10002019.06 | 2.7 | — | |
| CEVAEEvaluation=in-sample, Repeats=102019.06 | 2.7 | — | |
| CEVAE2026.05 | 2.7 | 0.34 | |
| CFRNet(WASS)Method Category=Rep. Learners2025.12 | 2.89 | — | |
| Causal ForestMethod Category=Tree Learners2025.12 | 2.9 | — | |
| ESCFRMethod Category=Rep. Learners2025.12 | 2.93 | — | |
| DRCFRMethod Category=Rep. Learners2025.12 | 2.98 | — | |
| CFRNet(MMD)Method Category=Rep. Learners2025.12 | 3.38 | — | |
| XLearnerMethod Category=Meta Learners2025.12 | 3.64 | — | |
| DragonNetMethod Category=PS. Learner2025.12 | 3.68 | — | |
| CAUS.FOR.2016.06 | 3.8 | 0.18 | |
| CF2026.05 | 3.8 | 0.18 | |
| BNNEvaluation=in-sample, Repeats=102019.06 | 3.827 | — | |
| RAND.FOR.2016.06 | 4.2 | 0.73 | |
| PairNetMethod Category=Matching2025.12 | 4.39 | — | |
| TARNetMethod Category=Rep. Learners2025.12 | 4.4 | — | |
| PairNet+SMethod Category=Matching, incorporate post-treatment variables S=true2025.12 | 4.43 | — | |
| k-NNEvaluation=in-sample, Repeats=102019.06 | 4.432 | — | |
| IPW-learner2025.06 | 4.93 | — | |
| TMLE2016.06 | 5 | 0.3 | |
| DRLearnerMethod Category=Meta Learners2025.12 | 5.04 | — | |
| OLS/LR-12016.06 | 5.8 | 0.73 | |
| BLR2016.06 | 5.8 | 0.72 | |
| PSMEvaluation=in-sample, Repeats=102019.06 | 7.188 | — | |
| RLearnerMethod Category=Meta Learners2025.12 | 8.85 | — | |
| OSL/LR2Evaluation=in-sample, Repeats=102019.06 | 10.28 | — | |
| OSL/LR1Evaluation=in-sample, Repeats=102019.06 | 10.761 | — | |
| PerfectMatch+SMethod Category=Matching, incorporate post-treatment variables S=true2025.12 | 13.21 | — | |
| PerfectMatchMethod Category=Matching2025.12 | 13.23 | — |