Individual Treatment Effect Estimation on IHDP (out-of-sample)
0.33sqrt(PEHE)Repflow
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Repflow2026.05 | 0.33 | 0.08 | — | — | — | |
| POflow2026.05 | 0.45 | 0.09 | — | — | — | |
| CIB2019.06 | 0.613 | — | — | — | — | |
| CIBevaluation_split=out-of-sample2019.06 | 0.613 | — | — | — | — | |
| SITE2019.06 | 0.656 | — | — | — | — | |
| SITEevaluation_split=out-of-sample2019.06 | 0.656 | — | — | — | — | |
| DR-learner2026.05 | 0.72 | 0.2 | — | — | — | |
| T-learner2026.05 | 0.75 | 0.1 | — | — | — | |
| CFR WASSdistance_metric=Wasserstein2016.06 | 0.76 | 0.27 | — | — | — | |
| CFRW2026.05 | 0.76 | 0.27 | — | — | — | |
| CFR MMDdistance_metric=MMD2016.06 | 0.78 | 0.31 | — | — | — | |
| DiffPO2026.05 | 0.84 | 0.19 | — | — | — | |
| H-learnerbase_learner=X-learner2025.06 | 0.88 | — | — | — | — | |
| X-learner2025.06 | 0.91 | — | — | — | — | |
| H-learnerbase_learner=DR-learner2025.06 | 0.91 | — | — | — | — | |
| TARNet2025.06 | 0.93 | — | — | — | — | |
| TARNET2016.06 | 0.95 | 0.28 | — | — | — | |
| T-learner2025.06 | 1.07 | — | — | — | — | |
| DR-learner2025.06 | 1.08 | — | — | — | — | |
| CFR-W2019.06 | 1.152 | — | — | — | — | |
| CFR-Wevaluation_split=out-of-sample2019.06 | 1.152 | — | — | — | — | |
| S-learner2026.05 | 1.17 | 0.24 | — | — | — | |
| CFR-M2019.06 | 1.202 | — | — | — | — | |
| CFR-Mevaluation_split=out-of-sample2019.06 | 1.202 | — | — | — | — | |
| SITE-M2019.06 | 1.242 | — | — | — | — | |
| FlexTENet2025.06 | 1.3 | — | — | — | — | |
| TARNet-WR2025.06 | 1.33 | — | — | — | — | |
| TARNET2019.06 | 1.342 | — | — | — | — | |
| TARNETevaluation_split=out-of-sample2019.06 | 1.342 | — | — | — | — | |
| SITE-W2019.06 | 1.459 | — | — | — | — | |
| CFR-Pro2024.07 | 1.4601 | 0.1079 | — | 0.2224 | — | |
| ESCFR2024.07 | 1.6299 | 0.2135 | — | 0.2319 | — | |
| SITE2024.07 | 1.7339 | 0.2271 | — | 0.2525 | — | |
| TARNet2024.07 | 1.7781 | 0.2814 | — | 0.3338 | — | |
| CFR-WASS2024.07 | 1.9252 | 0.5578 | — | 0.6532 | — | |
| CFR-MMD2024.07 | 1.9398 | 0.587 | — | 0.6678 | — | |
| BNN2016.06 | 2.1 | 0.42 | — | — | — | |
| OffsetNet2025.06 | 2.18 | — | — | — | — | |
| BART2016.06 | 2.3 | 0.34 | — | — | — | |
| GANITE2019.06 | 2.4 | — | — | — | — | |
| GANITE2026.05 | 2.4 | 0.28 | — | — | — | |
| HSIC-NNM2019.06 | 2.401 | — | — | — | — | |
| OLS/LR-22016.06 | 2.5 | 0.31 | — | — | — | |
| T.Learner2024.07 | 2.5257 | 0.5818 | — | 0.6642 | — | |
| CEVAE2019.06 | 2.6 | — | — | — | — | |
| CEVAEevaluation_split=out-of-sample, realizations=10002019.06 | 2.6 | — | — | — | — | |
| CEVAE2026.05 | 2.6 | 0.46 | — | — | — | |
| O.Forest2024.07 | 3.1888 | 0.315 | — | 0.6539 | — | |
| CAUS.FOR.2016.06 | 3.8 | 0.4 | — | — | — | |
| CF2026.05 | 3.8 | 0.4 | — | — | — | |
| DESCN2024.07 | 4.0128 | 1.2219 | — | 0.7917 | — | |
| k-NN2016.06 | 4.1 | 0.79 | — | — | — | |
| k-NN2019.06 | 4.303 | — | — | — | — | |
| k-NN2024.07 | 4.3191 | 0.8316 | — | 1.8118 | — | |
| PSM2024.07 | 4.6347 | 0.2129 | — | 0.9353 | — | |
| R.Forest2024.07 | 4.6697 | 0.4544 | — | 0.8353 | — | |
| S.Learner2024.07 | 4.7408 | 2.5785 | — | 2.7951 | — | |
| BNN2019.06 | 4.874 | — | — | — | — | |
| IPW-learner2025.06 | 4.95 | — | — | — | — | |
| OSL/LR22019.06 | 5.245 | — | — | — | — | |
| OLS/LR-12016.06 | 5.8 | 0.94 | — | — | — | |
| BLR2016.06 | 5.8 | 0.93 | — | — | — | |
| RAND.FOR.2016.06 | 6.6 | 0.96 | — | — | — | |
| PSM2019.06 | 7.29 | — | — | — | — | |
| OSL/LR12019.06 | 7.354 | — | — | — | — | |
| Causal ForestMethod Category=Tree Learners2025.12 | — | — | 2.92 | — | — | |
| CEVAEvalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.36 | |
| CFRvalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.18 | |
| CFRNet(MMD)Method Category=Rep. Learners2025.12 | — | — | 3.37 | — | — | |
| CFRNet(WASS)Method Category=Rep. Learners2025.12 | — | — | 2.9 | — | — | |
| DiffPOvalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.4 | |
| DragonNetMethod Category=PS. Learner2025.12 | — | — | 3.61 | — | — | |
| DRCFRMethod Category=Rep. Learners2025.12 | — | — | 3 | — | — | |
| DRLearnerMethod Category=Meta Learners2025.12 | — | — | 4.99 | — | — | |
| ESCFRMethod Category=Rep. Learners2025.12 | — | — | 2.95 | — | — | |
| GANITEvalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.67 | |
| INFsvalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.2 | |
| PairNetMethod Category=Matching2025.12 | — | — | 4.43 | — | — | |
| PairNet+SMethod Category=Matching, incorporate post-treatment variables S=true2025.12 | — | — | 4.46 | — | — | |
| PerfectMatchMethod Category=Matching2025.12 | — | — | 13.22 | — | — | |
| PerfectMatch+SMethod Category=Matching, incorporate post-treatment variables S=true2025.12 | — | — | 13.23 | — | — | |
| PIPCFR (MMD)Method Category=Ours, Variant=MMD2025.12 | — | — | 2 | — | — | |
| PIPCFR (WASS)Method Category=Ours, Variant=WASS2025.12 | — | — | 2.35 | — | — | |
| PO-Flowselection_strategy=most likely PO from 100 simulated outcomes using log-density, validation=10-fold cross-validation2025.05 | — | — | — | — | 1.05 | |
| RLearnerMethod Category=Meta Learners2025.12 | — | — | 6.77 | — | — | |
| S-learnervalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.44 | |
| T-learnervalidation=10-fold cross-validation2025.05 | — | — | — | — | 1.49 | |
| TARNetMethod Category=Rep. Learners2025.12 | — | — | 4.32 | — | — | |
| XLearnerMethod Category=Meta Learners2025.12 | — | — | 3.9 | — | — |