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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 1241–1250 of 1722 papers

Title	Date	Tasks	Status	Hype
Counterfactual Invariance to Spurious Correlations in Text Classification	May 21, 2021	Causal InferenceClassification	—Unverified	0
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model	May 21, 2021	Causal Inferencecounterfactual	—Unverified	0
Be Causal: De-biasing Social Network Confounding in Recommendation	May 17, 2021	Causal InferenceRecommendation Systems	—Unverified	0
Choice Set Confounding in Discrete Choice	May 17, 2021	Causal InferenceDiscrete Choice Models	CodeCode Available	0
Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record	May 15, 2021	Causal Inference	—Unverified	0
Causally motivated Shortcut Removal Using Auxiliary Labels	May 13, 2021	Causal InferenceDisentanglement	CodeCode Available	0
Causal Inference in medicine and in health policy, a summary	May 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
The Local Approach to Causal Inference under Network Interference	May 9, 2021	Causal Inferencevalid	—Unverified	0
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding	May 3, 2021	Causal InferenceDecision Making	—Unverified	0
Weak Instrumental Variables: Limitations of Traditional 2SLS and Exploring Alternative Instrumental Variable Estimators	Apr 26, 2021	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