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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 1341–1350 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
CaM-Gen:Causally-aware Metric-guided Text Generation	Oct 24, 2020	Causal InferenceText Generation	—Unverified	0	0
CaM-Gen: Causally Aware Metric-Guided Text Generation	May 1, 2022	Causal InferenceText Generation	—Unverified	0	0
Can predictive models be used for causal inference?	Jun 18, 2023	Causal Inferencefeature selection	—Unverified	0	0
Cascading Failure Prediction via Causal Inference	Oct 24, 2024	Causal InferencePrediction	—Unverified	0	0
Case Level Counterfactual Reasoning in Process Mining	Feb 25, 2021	Causal Inferencecounterfactual	—Unverified	0	0
Categoroids: Universal Conditional Independence	Aug 23, 2022	Causal Inference	—Unverified	0	0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression	Oct 25, 2023	Causal Inferenceregression	—Unverified	0	0
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms	Nov 30, 2021	Causal InferenceCrash injury severity	—Unverified	0	0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges	Jan 18, 2022	Causal InferencePrediction	—Unverified	0	0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors	Feb 12, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	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