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Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 721–730 of 1722 papers

Title	Date	Tasks	Status	Hype
One-Step Estimation of Differentiable Hilbert-Valued Parameters	Mar 29, 2023	Causal Inferencecounterfactual	CodeCode Available	0
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions	Mar 24, 2023	Causal InferenceExperimental Design	CodeCode Available	0
Differentially Private Synthetic Control	Mar 24, 2023	Causal Inferencecounterfactual	—Unverified	0
Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs	Mar 22, 2023	Causal Inferencevalid	—Unverified	0
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Counterfactually Fair Regression with Double Machine Learning	Mar 21, 2023	Causal Inferencecounterfactual	—Unverified	0
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation	Mar 20, 2023	Causal InferenceRepresentation Learning	CodeCode Available	1
Approaching an unknown communication system by latent space exploration and causal inference	Mar 20, 2023	Causal InferenceDisentanglement	CodeCode Available	0
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?	Mar 14, 2023	Causal Inference	—Unverified	0
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review	Mar 13, 2023	ArticlesCausal Inference	—Unverified	0

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified