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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 811–820 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimating Causal Effects of Text Interventions Leveraging LLMs	Oct 28, 2024	Causal InferenceDomain Adaptation	—Unverified	0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis	Apr 24, 2024	Causal InferenceDensity Estimation	—Unverified	0
Estimating causal effects with optimization-based methods: A review and empirical comparison	Feb 28, 2022	Causal Inference	—Unverified	0
Estimating Causal Effects With Partial Covariates For Clinical Interpretability	Nov 26, 2018	Causal Inference	—Unverified	0
Categoroids: Universal Conditional Independence	Aug 23, 2022	Causal Inference	—Unverified	0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning	Aug 30, 2024	Causal InferenceDimensionality Reduction	—Unverified	0
Estimation Considerations in Contextual Bandits	Nov 19, 2017	Causal InferenceEconometrics	—Unverified	0
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms	Aug 13, 2018	BIG-bench Machine LearningCausal Inference	—Unverified	0
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data	Jun 30, 2017	Causal InferenceModel Selection	—Unverified	0
Collaborative causal inference on distributed data	Aug 16, 2022	Causal InferenceDimensionality Reduction	—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