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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 1171–1180 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
A Causal Inference Framework for Data Rich Environments	Apr 2, 2025	Causal Inferencecounterfactual	—Unverified	0	0
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials	May 15, 2023	Causal Inference	—Unverified	0	0
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization	Aug 19, 2022	Causal Inferenceparameter estimation	—Unverified	0	0
A Causal Lens for Controllable Text Generation	Jan 22, 2022	AttributeCausal Inference	—Unverified	0	0
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model	Jun 22, 2020	Causal InferenceSurvival Analysis	—Unverified	0	0
Causal Modeling with Stochastic Confounders	Apr 24, 2020	Causal Inference	—Unverified	0	0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions	Sep 7, 2023	Causal InferenceSelection bias	—Unverified	0	0
Accounting for Missing Covariates in Heterogeneous Treatment Estimation	Oct 21, 2024	Causal Inference	—Unverified	0	0
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality	Oct 11, 2023	AttributeCausal Inference	—Unverified	0	0
Achieving Counterfactual Fairness for Causal Bandit	Sep 21, 2021	Causal Inferencecounterfactual	—Unverified	0	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