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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 641–650 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text	Jun 1, 2022	Causal InferenceSentiment Analysis	—Unverified	0	0
Causal Interventions in Bond Multi-Dealer-to-Client Platforms	Jun 22, 2025	Causal Inference	—Unverified	0	0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition	Jun 23, 2025	Bayesian InferenceCausal Inference	—Unverified	0	0
Causal Intervention for Weakly-Supervised Semantic Segmentation	Sep 26, 2020	AttributeCausal Inference	—Unverified	0	0
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition	Apr 17, 2022	Causal InferenceFacial Action Unit Detection	—Unverified	0	0
Bayesian Discovery of Linear Acyclic Causal Models	May 9, 2012	Causal Inference	—Unverified	0	0
Causal Interpretations in Observational Studies: The Role of Sociocultural Backgrounds and Team Dynamics	Feb 4, 2025	Causal Inference	—Unverified	0	0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information	Oct 29, 2024	Causal Inferencecounterfactual	—Unverified	0	0
An AI-powered Bayesian generative modeling approach for causal inference in observational studies	Jan 1, 2025	Causal InferenceUncertainty Quantification	—Unverified	0	0
Rolling with the Punches: Resilient Contrastive Pre-training under Non-Stationary Drift	Feb 11, 2025	Causal InferenceContrastive Learning	—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