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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 331–340 of 1722 papers

Title	Date	Tasks	Status	Hype
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference	Feb 23, 2021	Causal InferenceExperimental Design	—Unverified	0
Nested Nonparametric Instrumental Variable Regression	Dec 28, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Causal Inference from Small High-dimensional Datasets	May 19, 2022	Causal InferenceTransfer Learning	—Unverified	0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness	Dec 18, 2020	Causal InferenceFairness	—Unverified	0
A Semiparametric Approach to Causal Inference	Nov 1, 2024	Causal Inferencecounterfactual	—Unverified	0
Achieving Counterfactual Fairness for Causal Bandit	Sep 21, 2021	Causal Inferencecounterfactual	—Unverified	0
Causal Inference in Disease Spread across a Heterogeneous Social System	Jan 24, 2018	Causal Inference	—Unverified	0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward	May 15, 2023	Causal InferenceEarth Observation	—Unverified	0
Causal Post-Processing of Predictive Models	Jun 13, 2024	Causal InferenceDecision Making	—Unverified	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

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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