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Causal Inference On Ihdp

Metrics

Average Treatment Effect Error

Results

Performance results of various models on this benchmark

Model Name	Average Treatment Effect Error	Paper Title	Repository
Dragonnet	0.20	Adapting Neural Networks for the Estimation of Treatment Effects	-
Random Forest	0.96	Estimating individual treatment effect: generalization bounds and algorithms	-
Counterfactual Regression + WASS	0.27	Estimating individual treatment effect: generalization bounds and algorithms	-
BCAUS DR	0.29	Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision	-
Balancing Neural Network	0.42	Estimating individual treatment effect: generalization bounds and algorithms	-
MTDL-KNN	0.23	Deep representation learning for individualized treatment effect estimation using electronic health records
CEVAE	0.46	Causal Effect Inference with Deep Latent-Variable Models	-
Causal Forest	0.4	Estimating individual treatment effect: generalization bounds and algorithms	-
k-NN	0.79	Estimating individual treatment effect: generalization bounds and algorithms	-
BCAUSS	0.15	Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation
TARNet	0.28	Estimating individual treatment effect: generalization bounds and algorithms	-
Balancing Linear Regression	0.93	Estimating individual treatment effect: generalization bounds and algorithms	-

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Causal Inference On Ihdp | SOTA | HyperAI