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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 1391–1400 of 1722 papers

Title	Date	Tasks	Status	Hype
A Primer on Deep Learning for Causal Inference	Oct 9, 2021	Causal InferenceDeep Learning	CodeCode Available	0
Causal Effect Estimation using Variational Information Bottleneck	Oct 26, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Causal Effect Estimation on Hierarchical Spatial Graph Data	Aug 6, 2023	Causal InferenceTime Series	CodeCode Available	0
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning	Oct 10, 2022	Causal InferenceDeep Learning	CodeCode Available	0
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects	May 20, 2018	Causal Inference	CodeCode Available	0
Deep representation learning for individualized treatment effect estimation using electronic health records	Dec 1, 2019	Causal Inferencecounterfactual	CodeCode Available	0
Causal Discovery using Compression-Complexity Measures	Oct 19, 2020	Causal DiscoveryCausal Inference	CodeCode Available	0
Causal Discovery in Linear Structural Causal Models with Deterministic Relations	Oct 30, 2021	Causal DiscoveryCausal Inference	CodeCode Available	0
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm	May 28, 2024	Causal Inference	CodeCode Available	0
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	Causal 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