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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 81–90 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal intersectionality for fair ranking	Jun 15, 2020	Causal InferenceFairness	CodeCode Available	1
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework	Jun 12, 2024	BenchmarkingCausal Inference	CodeCode Available	1
A Brief Introduction to Causal Inference in Machine Learning	May 14, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1
A Graph Neural Network Framework for Causal Inference in Brain Networks	Oct 14, 2020	Causal InferenceGraph Neural Network	CodeCode Available	1
Causal Modeling of Twitter Activity During COVID-19	May 16, 2020	Causal InferenceDescriptive	CodeCode Available	1
Causal Modeling with Stationary Diffusions	Oct 26, 2023	Causal Inference	CodeCode Available	1
Can Large Language Models Infer Causation from Correlation?	Jun 9, 2023	Causal Inference	CodeCode Available	1
Causal Recurrent Variational Autoencoder for Medical Time Series Generation	Jan 16, 2023	Causal InferenceDecoder	CodeCode Available	1
A framework for causal segmentation analysis with machine learning in large-scale digital experiments	Nov 1, 2021	Causal Inference	CodeCode Available	1
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	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