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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 1291–1300 of 1722 papers

Title	Date	Tasks	Status	Hype
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data	Apr 9, 2021	Causal DiscoveryCausal Inference	—Unverified	0
Latent Convergent Cross Mapping	Jan 1, 2021	Causal InferenceTime Series	—Unverified	0
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism	Jul 17, 2020	Causal DiscoveryCausal Inference	—Unverified	0
Layout-Based Causal Inference for Object Navigation	Jan 1, 2023	Causal InferenceObject	—Unverified	0
Learned Causal Method Prediction	Nov 7, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering	Aug 11, 2023	Causal InferenceManagement	—Unverified	0
Learning Causal Effects via Weighted Empirical Risk Minimization	Dec 1, 2020	Causal IdentificationCausal Inference	—Unverified	0
Learning Causal Overhypotheses through Exploration in Children and Computational Models	Feb 21, 2022	Causal InferenceEfficient Exploration	—Unverified	0
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting	Aug 3, 2021	Causal Inference	—Unverified	0
Learning Causal Relationships from Conditional Moment Restrictions by Importance Weighting	Sep 29, 2021	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