HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Causal Inference On Ihdp

评估指标

Average Treatment Effect Error

评测结果

各个模型在此基准测试上的表现结果

模型名称	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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