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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 561–570 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference Using LLM-Guided Discovery	Oct 23, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	0
Metastable Financial Markets	Oct 19, 2023	Causal InferenceTime Series	—Unverified	0
Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit	Oct 18, 2023	Causal Inference	—Unverified	0
Assessing the Causal Impact of Humanitarian Aid on Food Security	Oct 17, 2023	Causal InferenceHumanitarian	—Unverified	0
Machine learning in physics: a short guide	Oct 16, 2023	Causal Inferenceregression	CodeCode Available	1
Confounding-Robust Policy Improvement with Human-AI Teams	Oct 13, 2023	Causal InferenceSensitivity	—Unverified	0
Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects	Oct 12, 2023	Causal Inferencevalid	CodeCode Available	0
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic	Oct 12, 2023	Causal InferenceMisinformation	—Unverified	0
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality	Oct 11, 2023	AttributeCausal 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