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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 1561–1570 of 1722 papers

Title	Date	Tasks	Status	Hype
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing	Jan 10, 2025	Causal InferenceExplainable artificial intelligence	CodeCode Available	0
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning	Aug 9, 2022	Causal InferenceMarketing	CodeCode Available	0
Poincare: Recommending Publication Venues via Treatment Effect Estimation	Oct 19, 2020	Causal InferenceRecommendation Systems	CodeCode Available	0
Long-term Causal Inference Under Persistent Confounding via Data Combination	Feb 15, 2022	Causal Inference	CodeCode Available	0
Explaining Text Classifiers with Counterfactual Representations	Feb 1, 2024	AttributeCausal Inference	CodeCode Available	0
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach	Dec 20, 2023	Autonomous NavigationCausal Inference	CodeCode Available	0
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments	Apr 16, 2025	BenchmarkingCausal Inference	CodeCode Available	0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals	May 11, 2024	Anomaly DetectionCausal Inference	CodeCode Available	0
Machine Learning and Deep Learning -- A review for Ecologists	Apr 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Machine learning for causal inference: on the use of cross-fit estimators	Apr 21, 2020	BIG-bench Machine LearningCausal 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