OpenCodePapers
causal-inference-on-ihdp
Methodology
Causal Inference
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Show papers without code
Paper
Code
Average Treatment Effect Error
↕
ModelName
ReleaseDate
↕
Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect Estimation
✓ Link
0.13
SIP + BCAUSS
2025-05-28
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation
✓ Link
0.15
BCAUSS
2023-03-20
Adapting Neural Networks for the Estimation of Treatment Effects
✓ Link
0.20
Dragonnet
2019-06-05
Deep representation learning for individualized treatment effect estimation using electronic health records
✓ Link
0.23
MTDL-KNN
2019-12-01
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.27
Counterfactual Regression + WASS
2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.28
TARNet
2016-06-13
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision
0.29
BCAUS DR
2021-09-20
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.4
Causal Forest
2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.42
Balancing Neural Network
2016-06-13
Causal Effect Inference with Deep Latent-Variable Models
✓ Link
0.46
CEVAE
2017-05-24
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.79
k-NN
2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.93
Balancing Linear Regression
2016-06-13
Estimating individual treatment effect: generalization bounds and algorithms
✓ Link
0.96
Random Forest
2016-06-13
×