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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 1281–1290 of 1722 papers

Title	Date	Tasks	Status	Hype
Joint Causal Inference from Multiple Contexts	Nov 30, 2016	Causal DiscoveryCausal Inference	—Unverified	0
Joint Value Estimation and Bidding in Repeated First-Price Auctions	Feb 24, 2025	Causal Inference	—Unverified	0
Justifying Information-Geometric Causal Inference	Feb 11, 2014	Causal Inference	—Unverified	0
KANITE: Kolmogorov-Arnold Networks for ITE estimation	Mar 18, 2025	Causal InferenceKolmogorov-Arnold Networks	—Unverified	0
Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs	Oct 7, 2019	Causal Inference	—Unverified	0
K-Fold Causal BART for CATE Estimation	Sep 9, 2024	Causal InferenceUncertainty Quantification	—Unverified	0
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference	Jan 15, 2025	Causal InferenceKolmogorov-Arnold Networks	—Unverified	0
Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference	Oct 18, 2019	Causal Inferencecounterfactual	—Unverified	0
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey	Mar 14, 2024	Causal InferenceFairness	—Unverified	0
Large Language Models as Co-Pilots for Causal Inference in Medical Studies	Jul 26, 2024	Causal InferenceSelection bias	—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