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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 881–890 of 1722 papers

Title	Date	Tasks	Status	Hype
Strategic Classification is Causal Modeling in Disguise	Oct 23, 2019	Causal InferenceClassification	—Unverified	0
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift	Jun 21, 2021	Causal InferenceDensity Estimation	—Unverified	0
String Diagrams with Factorized Densities	May 4, 2023	Causal InferenceProbabilistic Programming	—Unverified	0
Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU	Oct 28, 2020	Causal Inference	—Unverified	0
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation	Feb 22, 2024	Causal Inference	—Unverified	0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering	May 5, 2025	Causal InferenceMedical Visual Question Answering	—Unverified	0
Structured Neural Networks for Density Estimation and Causal Inference	Nov 3, 2023	Causal Inferencecounterfactual	—Unverified	0
Studying Product Competition Using Representation Learning	May 21, 2020	Causal InferenceDecision Making	—Unverified	0
Super learning in the SAS system	May 21, 2018	BIG-bench Machine LearningCausal Inference	—Unverified	0
SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models	May 19, 2025	Causal InferenceDecision Making	—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