OpenCodePapers

causal-inference-on-ihdp

Causal Inference
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
PaperCodeAverage Treatment Effect ErrorModelNameReleaseDate
Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect Estimation✓ Link0.13SIP + BCAUSS2025-05-28
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation✓ Link0.15BCAUSS2023-03-20
Adapting Neural Networks for the Estimation of Treatment Effects✓ Link0.20Dragonnet2019-06-05
Deep representation learning for individualized treatment effect estimation using electronic health records✓ Link0.23MTDL-KNN2019-12-01
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.27Counterfactual Regression + WASS2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.28TARNet2016-06-13
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision0.29BCAUS DR2021-09-20
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.4Causal Forest2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.42Balancing Neural Network2016-06-13
Causal Effect Inference with Deep Latent-Variable Models✓ Link0.46CEVAE2017-05-24
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.79k-NN2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.93Balancing Linear Regression2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms✓ Link0.96Random Forest2016-06-13