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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 1431–1440 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal discovery for observational sciences using supervised machine learning	Feb 25, 2022	BIG-bench Machine LearningCausal Discovery	CodeCode Available	0
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP	Oct 7, 2021	Causal InferenceDomain Adaptation	CodeCode Available	0
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data	Mar 29, 2022	Causal DiscoveryCausal Inference	CodeCode Available	0
Do-calculus enables estimation of causal effects in partially observed biomolecular pathways	Feb 12, 2021	Causal Inference	CodeCode Available	0
On the Role of Surrogates in Conformal Inference of Individual Causal Effects	Dec 16, 2024	Causal InferenceConformal Prediction	CodeCode Available	0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Apr 30, 2020	Causal InferencePoint Processes	CodeCode Available	0
Do large language models and humans have similar behaviors in causal inference with script knowledge?	Nov 13, 2023	Causal Inference	CodeCode Available	0
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment	Nov 25, 2021	Causal Inference	CodeCode Available	0
Do LLMs Have the Generalization Ability in Conducting Causal Inference?	Oct 15, 2024	Causal Inferencecounterfactual	CodeCode Available	0
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement	Sep 17, 2020	ArticlesCausal 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