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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 41–50 of 1722 papers

Title	Date	Tasks	Status	Hype
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network	May 28, 2025	Causal InferenceImage Segmentation	—Unverified	0
Debiased Ill-Posed Regression	May 27, 2025	Causal Inferenceregression	—Unverified	0
Model Agnostic Differentially Private Causal Inference	May 26, 2025	Causal Inferencemodel	—Unverified	0
Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement	May 25, 2025	Causal Inferencecounterfactual	—Unverified	0
Causal Discovery in Dynamic Fading Wireless Networks	May 24, 2025	Causal DiscoveryCausal Inference	—Unverified	0
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases	May 23, 2025	Causal Inferencescientific discovery	CodeCode Available	0
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation	May 23, 2025	Causal InferenceFederated Learning	—Unverified	0
On the Out-of-Distribution Generalization of Self-Supervised Learning	May 22, 2025	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	0
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding	May 22, 2025	Causal InferenceHallucination	—Unverified	0
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine	May 22, 2025	Causal InferenceDrug Discovery	—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