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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 1021–1030 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation	Feb 22, 2024	Causal Inference	—Unverified	0	0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering	May 5, 2025	Causal InferenceMedical Visual Question Answering	—Unverified	0	0
Structured Neural Networks for Density Estimation and Causal Inference	Nov 3, 2023	Causal Inferencecounterfactual	—Unverified	0	0
Studying Product Competition Using Representation Learning	May 21, 2020	Causal InferenceDecision Making	—Unverified	0	0
Super learning in the SAS system	May 21, 2018	BIG-bench Machine LearningCausal Inference	—Unverified	0	0
SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models	May 19, 2025	Causal InferenceDecision Making	—Unverified	0	0
Symbiotic bacterial network structure involved in carbon and nitrogen metabolism of wood-utilizing insect larvae	Jan 24, 2022	Causal Inference	—Unverified	0	0
Asymptotically Unbiased Synthetic Control Methods by Density Matching	Jul 20, 2023	Causal Inferencecounterfactual	—Unverified	0	0
Synthetic Potential Outcomes and Causal Mixture Identifiability	May 29, 2024	Causal Inferencecounterfactual	—Unverified	0	0
Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset	Oct 31, 2017	Causal Inference	—Unverified	0	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