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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 311–320 of 1722 papers

Title	Date	Tasks	Status	Hype
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling	Aug 21, 2024	Causal InferenceMarketing	—Unverified	0
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis	Aug 17, 2024	Causal Inferencecounterfactual	CodeCode Available	0
Multi-task Heterogeneous Graph Learning on Electronic Health Records	Aug 14, 2024	Causal InferenceDenoising	CodeCode Available	1
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains	Aug 14, 2024	Causal Inference	CodeCode Available	0
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study	Aug 12, 2024	Causal DiscoveryCausal Inference	—Unverified	0
Correcting invalid regression discontinuity designs with multiple time period data	Aug 11, 2024	Causal Inferenceregression	—Unverified	0
Dynamical causality under invisible confounders	Aug 10, 2024	Causal Inference	—Unverified	0
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression	Aug 10, 2024	Causal Inferencecounterfactual	CodeCode Available	0
A Density Ratio Super Learner	Aug 9, 2024	Causal Inference	—Unverified	0
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing	Aug 5, 2024	Causal Inferencecounterfactual	CodeCode Available	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