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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 221–230 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Bandits: Learning Good Interventions via Causal Inference	Jun 10, 2016	Causal Inference	—Unverified	0
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment	Mar 8, 2023	Causal Inferenceregression	—Unverified	0
A Bayesian Model for Bivariate Causal Inference	Dec 24, 2018	BenchmarkingCausal Inference	—Unverified	0
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models	Apr 12, 2023	Causal Inference	—Unverified	0
Bayesian causal inference via probabilistic program synthesis	Oct 30, 2019	Bayesian InferenceCausal Inference	—Unverified	0
Active and Passive Causal Inference Learning	Aug 18, 2023	Causal IdentificationCausal Inference	—Unverified	0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes	Feb 14, 2025	Causal InferenceImputation	—Unverified	0
Bayesian Discovery of Linear Acyclic Causal Models	May 9, 2012	Causal Inference	—Unverified	0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition	Jun 23, 2025	Bayesian InferenceCausal Inference	—Unverified	0
Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation	Jan 5, 2023	AttributeCausal 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