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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 361–370 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Claims in Economics	Jan 12, 2025	Causal InferenceKnowledge Graphs	—Unverified	0
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments	Jan 12, 2025	Causal Inference	CodeCode Available	0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing	Jan 10, 2025	Causal Inferencecounterfactual	—Unverified	0
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing	Jan 10, 2025	Causal InferenceExplainable artificial intelligence	CodeCode Available	0
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes	Jan 9, 2025	Causal InferenceICU Admission	—Unverified	0
Coarsened confounding for causal effects: a large-sample framework	Jan 6, 2025	Causal Inference	—Unverified	0
A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users	Jan 6, 2025	Causal InferencePoint Processes	—Unverified	0
Guiding Treatment Strategies: The Role of Adjuvant Anti-Her2 Neu Therapy and Skin/Nipple Involvement in Local Recurrence-Free Survival in Breast Cancer Patients	Jan 4, 2025	Causal Inference	—Unverified	0
An AI-powered Bayesian generative modeling approach for causal inference in observational studies	Jan 1, 2025	Causal InferenceUncertainty Quantification	—Unverified	0
A Graphical Approach to State Variable Selection in Off-policy Learning	Jan 1, 2025	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