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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 281–290 of 1722 papers

Title	Date	Tasks	Status	Hype
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts	Apr 7, 2019	Causal InferenceEconometrics	—Unverified	0
A unified theory of information transfer and causal relation	Apr 21, 2022	Causal InferenceRelation	—Unverified	0
A Counterfactual Analysis of the Dishonest Casino	May 24, 2024	Causal Inferencecounterfactual	—Unverified	0
Auditing Search Engines for Differential Satisfaction Across Demographics	May 24, 2017	Causal Inference	—Unverified	0
Auction Throttling and Causal Inference of Online Advertising Effects	Dec 30, 2021	Causal Inference	—Unverified	0
AI Assurance using Causal Inference: Application to Public Policy	Dec 1, 2021	Causal InferenceDecision Making	—Unverified	0
A Causal Approach for Business Optimization: Application on an Online Marketplace	Jul 4, 2022	Causal Inference	—Unverified	0
Causal Post-Processing of Predictive Models	Jun 13, 2024	Causal InferenceDecision Making	—Unverified	0
A Two-Stage Interpretable Matching Framework for Causal Inference	Apr 13, 2025	Causal Inference	—Unverified	0
A Tutorial on Doubly Robust Learning for Causal Inference	Jun 2, 2024	Causal 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