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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 851–860 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference in medicine and in health policy, a summary	May 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection	Nov 19, 2022	Binary ClassificationCausal Inference	—Unverified	0
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—Unverified	0
Explainable Genetic Inheritance Pattern Prediction	Dec 1, 2018	Causal InferencePrediction	—Unverified	0
Explaining Classifiers with Causal Concept Effect (CaCE)	Jul 16, 2019	Causal Inference	—Unverified	0
Explaining Deep Learning Models using Causal Inference	Nov 11, 2018	Causal Inferencecounterfactual	—Unverified	0
Causal inference using the algorithmic Markov condition	Apr 23, 2008	Causal Inference	—Unverified	0
Exploring Logically Dependent Multi-task Learning with Causal Inference	Nov 1, 2020	Causal Inferencecounterfactual	—Unverified	0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records	Nov 21, 2022	Causal InferenceDecision Making	—Unverified	0
An Introduction to Causal Discovery	Jul 11, 2024	Causal DiscoveryCausal 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