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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 321–330 of 1722 papers

Title	Date	Tasks	Status	Hype
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks	Aug 4, 2024	Causal Inference	—Unverified	0
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation	Aug 4, 2024	Causal InferenceTransfer Learning	CodeCode Available	0
Identification and Inference for Synthetic Control Methods with Spillover Effects: Estimating the Economic Cost of the Sudan Split	Aug 1, 2024	Bayesian InferenceCausal Inference	—Unverified	0
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts	Jul 31, 2024	Causal InferenceLanguage Modelling	—Unverified	0
Potential weights and implicit causal designs in linear regression	Jul 30, 2024	Causal Inferencecounterfactual	—Unverified	0
Domain Adaptable Prescriptive AI Agent for Enterprise	Jul 29, 2024	AI AgentCausal Inference	—Unverified	0
Large Language Models as Co-Pilots for Causal Inference in Medical Studies	Jul 26, 2024	Causal InferenceSelection bias	—Unverified	0
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning	Jul 24, 2024	Causal InferenceDiagnostic	—Unverified	0
Causal modelling without introducing counterfactuals or abstract distributions	Jul 24, 2024	Causal Inferencecounterfactual	—Unverified	0
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation	Jul 23, 2024	Causal Inferencecounterfactual	CodeCode Available	1

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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