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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 1161–1170 of 1722 papers

Title	Date	Tasks	Status	Hype
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation	May 23, 2025	Causal InferenceFederated Learning	—Unverified	0
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications	May 4, 2025	Causal InferencePrivacy Preserving	—Unverified	0
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis	Oct 22, 2024	Causal InferenceFederated Learning	—Unverified	0
Feedback Detection for Live Predictors	Oct 10, 2013	Causal Inference	—Unverified	0
Feedback in Imitation Learning: The Three Regimes of Covariate Shift	Feb 4, 2021	Causal InferenceDecision Making	—Unverified	0
Fixed-Population Causal Inference for Models of Equilibrium	Jan 31, 2025	Causal Inference	—Unverified	0
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference	Jul 19, 2017	Causal InferenceManagement	—Unverified	0
Forests for Differences: Robust Causal Inference Beyond Parametric DiD	May 14, 2025	Causal Inference	—Unverified	0
Formalizing Statistical Causality via Modal Logic	Oct 30, 2022	Causal Inference	—Unverified	0
Foundation Models for Causal Inference via Prior-Data Fitted Networks	Jun 12, 2025	Bayesian InferenceCausal Inference	—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