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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 71–80 of 1722 papers

Title	Date	Tasks	Status	Hype
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data	May 10, 2025	Causal DiscoveryCausal Inference	—Unverified	0
Moments of Causal Effects	May 8, 2025	Causal Inference	—Unverified	0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions	May 6, 2025	Causal InferenceDomain Adaptation	—Unverified	0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering	May 5, 2025	Causal InferenceMedical Visual Question Answering	—Unverified	0
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications	May 4, 2025	Causal InferencePrivacy Preserving	—Unverified	0
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis	May 3, 2025	Causal InferenceRepresentation Learning	—Unverified	0
Causally Fair Node Classification on Non-IID Graph Data	May 3, 2025	Causal InferenceFairness	—Unverified	0
A Unifying Framework for Robust and Efficient Inference with Unstructured Data	May 1, 2025	Causal InferenceDescriptive	—Unverified	0
Inference for max-linear Bayesian networks with noise	May 1, 2025	Causal Inference	—Unverified	0
On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics	May 1, 2025	Causal Inference	CodeCode Available	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