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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 171–180 of 1722 papers

Title	Date	Tasks	Status	Hype
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation	Nov 3, 2022	AutoMLCausal Inference	CodeCode Available	1
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic	Sep 23, 2023	Causal Inference	CodeCode Available	1
Estimating individual treatment effect: generalization bounds and algorithms	Jun 13, 2016	Causal InferenceGeneralization Bounds	CodeCode Available	1
Estimating Multi-cause Treatment Effects via Single-cause Perturbation	Dec 1, 2021	Causal Inferencevalid	CodeCode Available	1
Causal Modeling of Twitter Activity During COVID-19	May 16, 2020	Causal InferenceDescriptive	CodeCode Available	1
Federated Estimation of Causal Effects from Observational Data	May 31, 2021	Causal InferenceGaussian Processes	CodeCode Available	1
A Structural Causal Model for MR Images of Multiple Sclerosis	Mar 4, 2021	Causal Inferencecounterfactual	CodeCode Available	1
Causal Inference via Style Transfer for Out-of-distribution Generalisation	Dec 6, 2022	Causal InferenceImage Classification	CodeCode Available	1
A Survey of Deep Causal Models and Their Industrial Applications	Sep 19, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering	Jul 26, 2022	Causal InferenceQuestion Answering	CodeCode Available	1

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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