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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 1651–1660 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference in Observational Data	Nov 15, 2016	Causal Inference	—Unverified	0
Entropic Causal Inference	Nov 12, 2016	Causal Inference	CodeCode Available	0
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion	Nov 2, 2016	Causal Inferencefeature selection	—Unverified	0
Limits to causal inference with state-space reconstruction for infectious disease	Oct 29, 2016	Causal InferenceSensitivity	—Unverified	0
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data	Sep 12, 2016	Causal Inference	—Unverified	0
The Inflation Technique for Causal Inference with Latent Variables	Sep 2, 2016	Causal Inference	—Unverified	0
Identifying Causal Relations Using Parallel Wikipedia Articles	Aug 1, 2016	ArticlesCausal Inference	—Unverified	0
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining	Jul 20, 2016	Causal Inference	—Unverified	0
From Dependence to Causation	Jul 12, 2016	BIG-bench Machine LearningCausal Inference	—Unverified	0
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia	Jul 11, 2016	BIG-bench Machine LearningCausal 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