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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 1381–1390 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	Jun 23, 2020	Causal InferenceClinical Knowledge	CodeCode Available	0
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model	Jun 22, 2020	Causal InferenceSurvival Analysis	—Unverified	0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org	Jun 20, 2020	Causal InferenceFairness	—Unverified	0
Valid Causal Inference with (Some) Invalid Instruments	Jun 19, 2020	Causal Inferencevalid	—Unverified	0
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)	Jun 16, 2020	Causal InferenceFunctional Connectivity	CodeCode Available	0
Causal Inference with Deep Causal Graphs	Jun 15, 2020	Causal Inferencecounterfactual	—Unverified	0
Targeting Learning: Robust Statistics for Reproducible Research	Jun 12, 2020	Causal InferenceSurvival Analysis	—Unverified	0
Uncertainty promotes neuroreductionism: A behavioral online study on folk psychological causal inference from neuroimaging data	Jun 10, 2020	AttributeCausal Inference	—Unverified	0
Regret Minimization for Causal Inference on Large Treatment Space	Jun 10, 2020	Causal Inferencecounterfactual	—Unverified	0
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects	Jun 8, 2020	Causal InferencePhilosophy	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