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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 1031–1040 of 1722 papers

Title	Date	Tasks	Status	Hype
Debiased Ill-Posed Regression	May 27, 2025	Causal Inferenceregression	—Unverified	0
Inference on Strongly Identified Functionals of Weakly Identified Functions	Aug 17, 2022	Causal Inferenceregression	—Unverified	0
Debiased Recommendation with User Feature Balancing	Jan 16, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Debiasing Alternative Data for Credit Underwriting Using Causal Inference	Oct 29, 2024	Causal Inference	—Unverified	0
Debiasing Conditional Stochastic Optimization	Apr 20, 2023	Causal InferenceStochastic Optimization	—Unverified	0
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations	Jan 1, 2025	Causal InferenceForm	—Unverified	0
Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features	Jun 20, 2023	Causal InferenceInterpretable Machine Learning	—Unverified	0
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts	Mar 28, 2024	Causal InferenceData-free Knowledge Distillation	—Unverified	0
Deconfounded Image Captioning: A Causal Retrospect	Mar 9, 2020	Causal InferenceImage Captioning	—Unverified	0
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network	Jul 24, 2023	Causal Inferencecounterfactual	—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