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ACIC

Benchmarks

Task NameDataset NameSOTA ResultTrend
Binary Treatment Effect EstimationACIC Datasets-50k 2018
Epsilon ATE0.0016
24
Binary Treatment Effect EstimationACIC Datasets-10k 2018
Epsilon ATE0.0038
24
Binary Treatment Effect EstimationACIC Datasets-1k 2018
Epsilon ATE0.0061
24
CATE EstimationACIC 2016 (Out-sample)
PEHE0.82
22
Treatment Effect EstimationACIC semi-synthetic 2017
Mean TEE Error0
22
Treatment Effect EstimationACIC semi-synthetic 2016 (test)
Mean Error0
22
Potential Outcome EstimationACIC out-of-sample 2018
RMSE0.05
19
Potential Outcome EstimationACIC in-sample 2018
RMSE0.04
19
CATE Estimator SelectionACIC2016 Setting C m=0.9
PEHE10.05
16
CATE Estimator SelectionACIC Setting C, m=0.5 2016
PEHE6.44
16
CATE Estimator SelectionACIC Setting C, m=0.1 2016
PEHE4.6
16
CATE Estimator SelectionACIC Setting B, xi=2 2016
PEHE9.17
16
CATE Estimator SelectionACIC Setting B, xi=0 2016
PEHE1.99
16
CATE Estimator SelectionACIC Setting A, p=0.3 2016
PEHE5.28
16
CATE Estimator SelectionACIC Setting A, p=0.1 2016
PEHE3.55
16
CATE Estimator SelectionACIC Setting A, p=0 2016
PEHE2.68
16
CATE Estimator RankingACIC Setting C (m=0.9) 2016
Rank Correlation0.96
16
CATE Estimator RankingACIC Setting C (m=0.5) 2016
Rank Correlation0.96
16
CATE Estimator RankingACIC Setting C (m=0.1) 2016
Rank Correlation0.96
16
CATE Estimator RankingACIC Setting B (xi=2) 2016
Rank Correlation0.95
16
CATE Estimator RankingACIC Setting B (xi=0) 2016
Rank Correlation0.95
16
CATE Estimator RankingACIC Setting A (p=0.3) 2016
Rank Correlation0.96
16
CATE Estimator RankingACIC Setting A (p=0.1) 2016
Rank Correlation0.96
16
CATE Estimator RankingACIC Setting A (p=0) 2016
Rank Correlation0.96
16
HTE EstimationACIC (out-of-sample)
PEHE2.0413
13
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