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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 401–410 of 1722 papers

Title	Date	Tasks	Status	Hype
Metalearners for Ranking Treatment Effects	May 3, 2024	Causal InferenceLearning-To-Rank	—Unverified	0
A deep causal inference model for fully-interpretable travel behaviour analysis	May 2, 2024	Causal Inferencecounterfactual	—Unverified	0
ALCM: Autonomous LLM-Augmented Causal Discovery Framework	May 2, 2024	Causal DiscoveryCausal Inference	—Unverified	0
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity	May 2, 2024	Causal Inference	—Unverified	0
Asymptotic Properties of the Distributional Synthetic Controls	May 2, 2024	Causal Inference	—Unverified	0
Does Financial Literacy Impact Investment Participation and Retirement Planning in Japan?	May 2, 2024	Causal DiscoveryCausal Inference	—Unverified	0
Causal Evaluation of Language Models	May 1, 2024	Causal DiscoveryCausal Inference	CodeCode Available	2
Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory	Apr 30, 2024	Causal Inference	—Unverified	0
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference	Apr 30, 2024	Causal InferenceRecommendation Systems	CodeCode Available	0
A General Causal Inference Framework for Cross-Sectional Observational Data	Apr 28, 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