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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 621–630 of 1722 papers

Title	Date	Tasks	Status	Hype
Counterfactual Fairness with Partially Known Causal Graph	May 27, 2022	BIG-bench Machine LearningCausal Inference	—Unverified	0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond	Mar 29, 2018	Causal InferenceTopic Models	—Unverified	0
Causal and Counterfactual Views of Missing Data Models	Oct 11, 2022	Causal IdentificationCausal Inference	—Unverified	0
Computational identification of ketone metabolism as a key regulator of sleep stability and circadian dynamics via real-time metabolic profiling	Mar 16, 2025	Causal InferenceExplainable artificial intelligence	—Unverified	0
Counterfactual Inference under Thompson Sampling	Apr 3, 2025	Causal Inferencecounterfactual	—Unverified	0
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests	May 31, 2021	Causal Inferencecounterfactual	—Unverified	0
Computational Causal Inference	Jul 21, 2020	Causal InferenceDecision Making	—Unverified	0
Counterfactual Invariance to Spurious Correlations in Text Classification	May 21, 2021	Causal InferenceClassification	—Unverified	0
Counterfactually Fair Regression with Double Machine Learning	Mar 21, 2023	Causal Inferencecounterfactual	—Unverified	0
Causal and anti-causal learning in pattern recognition for neuroimaging	Dec 15, 2015	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