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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 1481–1490 of 1722 papers

Title	Date	Tasks	Status	Hype
Info Intervention	Jul 24, 2019	Causal Inferencecounterfactual	—Unverified	0
A discriminative approach for finding and characterizing positivity violations using decision trees	Jul 18, 2019	Causal Inferencevalid	—Unverified	0
Explaining Classifiers with Causal Concept Effect (CaCE)	Jul 16, 2019	Causal Inference	—Unverified	0
Quantifying Error in the Presence of Confounders for Causal Inference	Jul 10, 2019	Causal InferenceRepresentation Learning	—Unverified	0
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference	Jul 9, 2019	Causal Inference	—Unverified	0
Adjustment Criteria for Recovering Causal Effects from Missing Data	Jul 2, 2019	Causal InferenceSelection bias	—Unverified	0
Identification In Missing Data Models Represented By Directed Acyclic Graphs	Jun 29, 2019	Causal Inference	—Unverified	0
Causal Inference Under Interference And Network Uncertainty	Jun 29, 2019	Causal Inference	—Unverified	0
Learning Causal State Representations of Partially Observable Environments	Jun 25, 2019	Causal InferenceReinforcement Learning	—Unverified	0
A Bayesian Solution to the M-Bias Problem	Jun 17, 2019	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