HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Causal Inference On Ihdp

평가 지표

Average Treatment Effect Error

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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

0 of 12 row(s) selected.