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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 961–970 of 1722 papers

Title	Date	Tasks	Status	Hype
Transfer Learning for Estimating Causal Effects using Neural Networks	Aug 23, 2018	Causal InferenceTransfer Learning	—Unverified	0
Interacting Treatments with Endogenous Takeup	Jan 12, 2023	Causal Inference	—Unverified	0
Revealing Treatment Non-Adherence Bias in Clinical Machine Learning Using Large Language Models	Feb 26, 2025	Causal InferenceLanguage Modeling	—Unverified	0
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models	Nov 2, 2023	Causal InferenceDenoising	—Unverified	0
TSCI: two stage curvature identification for causal inference with invalid instruments	Apr 2, 2023	Causal Inference	—Unverified	0
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System	Mar 26, 2022	Causal InferenceDecision Making	—Unverified	0
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis	May 3, 2025	Causal InferenceRepresentation Learning	—Unverified	0
Position: AI/ML Influencers Have a Place in the Academic Process	Jan 24, 2024	Causal InferenceDiversity	—Unverified	0
Unbiased Scene Graph Generation via Two-stage Causal Modeling	Jul 11, 2023	Causal InferenceGraph Generation	—Unverified	0
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference	Aug 1, 2017	Causal InferenceTime Series	—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