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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 1041–1050 of 1722 papers

Title	Date	Tasks	Status	Hype
Deep Causal Learning: Representation, Discovery and Inference	Nov 7, 2022	Causal DiscoveryCausal Inference	—Unverified	0
Deep End-to-end Causal Inference	Feb 4, 2022	Causal DiscoveryCausal Inference	—Unverified	0
Deep Learning for Causal Inference	Mar 1, 2018	Causal InferenceDeep Learning	—Unverified	0
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation	May 6, 2024	Causal InferenceHeterogeneous Treatment Effect Estimation	—Unverified	0
Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data	Oct 28, 2024	Causal InferenceDeep Learning	—Unverified	0
Deep Learning With DAGs	Jan 12, 2024	Causal InferenceDeep Learning	—Unverified	0
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training	Feb 15, 2018	Causal Inference	—Unverified	0
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data	Oct 11, 2021	Causal Inference	—Unverified	0
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure	Oct 23, 2024	Causal Inference	—Unverified	0
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity	May 2, 2024	Causal 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