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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 771–780 of 1722 papers

Title	Date	Tasks	Status	Hype
Multiply Robust Estimator Circumvents Hyperparameter Tuning of Neural Network Models in Causal Inference	Jul 20, 2023	Causal Inference	—Unverified	0
Asymptotically Unbiased Synthetic Control Methods by Density Matching	Jul 20, 2023	Causal Inferencecounterfactual	—Unverified	0
Causality-oriented robustness: exploiting general noise interventions	Jul 18, 2023	Causal InferenceDomain Adaptation	CodeCode Available	0
Efficient Computation of Counterfactual Bounds	Jul 17, 2023	Causal Inferencecounterfactual	—Unverified	0
An R package for parametric estimation of causal effects	Jul 17, 2023	Causal Inference	—Unverified	0
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation	Jul 11, 2023	BenchmarkingCausal Discovery	—Unverified	0
Unbiased Scene Graph Generation via Two-stage Causal Modeling	Jul 11, 2023	Causal InferenceGraph Generation	—Unverified	0
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial	Jul 10, 2023	Causal Inference	—Unverified	0
Counterfactual Explanation for Fairness in Recommendation	Jul 10, 2023	AttributeCausal Inference	—Unverified	0
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference	Jul 3, 2023	Causal Inferencecounterfactual	—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