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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 1531–1540 of 1722 papers

Title	Date	Tasks	Status	Hype
A Bayesian Model for Bivariate Causal Inference	Dec 24, 2018	BenchmarkingCausal Inference	—Unverified	0
Whittemore: An embedded domain specific language for causal programming	Dec 21, 2018	Causal Inference	CodeCode Available	0
Balanced Linear Contextual Bandits	Dec 15, 2018	Causal InferenceMulti-Armed Bandits	—Unverified	0
What is the Effect of Importance Weighting in Deep Learning?	Dec 8, 2018	Causal InferenceDeep Learning	CodeCode Available	0
Identifying the Effect of Persuasion	Dec 6, 2018	Causal Inference	CodeCode Available	0
Explainable Genetic Inheritance Pattern Prediction	Dec 1, 2018	Causal InferencePrediction	—Unverified	0
Identification and Estimation of Causal Effects from Dependent Data	Dec 1, 2018	ArticlesCausal Inference	—Unverified	0
Representation Learning for Treatment Effect Estimation from Observational Data	Dec 1, 2018	Causal InferenceRepresentation Learning	CodeCode Available	0
Estimating Causal Effects With Partial Covariates For Clinical Interpretability	Nov 26, 2018	Causal Inference	—Unverified	0
Causal Inference by String Diagram Surgery	Nov 20, 2018	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