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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 1261–1270 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
A Primer on Causality in Data Science	Sep 7, 2018	Causal Inference	—Unverified	0	0
A primer on optimal transport for causal inference with observational data	Mar 10, 2025	Causal Inferencecounterfactual	—Unverified	0	0
A rational model of causal inference with continuous causes	Dec 1, 2011	Causal Inference	—Unverified	0	0
A Review of Generalizability and Transportability	Feb 23, 2021	Causal Inference	—Unverified	0	0
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?	Jun 3, 2025	Causal Inference	—Unverified	0	0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery	Jan 13, 2022	Causal InferenceData Integration	—Unverified	0	0
Artificial Intelligence and Aesthetic Judgment	Aug 21, 2023	Causal Inference	—Unverified	0	0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions	Apr 29, 2025	Causal InferenceFederated Learning	—Unverified	0	0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward	May 15, 2023	Causal InferenceEarth Observation	—Unverified	0	0
A Semiparametric Approach to Causal Inference	Nov 1, 2024	Causal Inferencecounterfactual	—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