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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 1441–1450 of 1722 papers

Title	Date	Tasks	Status	Hype
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions	Jul 20, 2017	Causal InferenceDomain Adaptation	CodeCode Available	0
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds	May 20, 2025	Causal Inferencecounterfactual	CodeCode Available	0
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control	May 1, 2023	Causal InferenceImputation	CodeCode Available	0
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression	Mar 22, 2024	Causal Inferenceregression	CodeCode Available	0
Combinatorial Causal Bandits	Jun 4, 2022	Causal Inference	CodeCode Available	0
Large-Scale Local Causal Inference of Gene Regulatory Relationships	Sep 3, 2019	Causal InferenceTriplet	CodeCode Available	0
Causal hybrid modeling with double machine learning	Feb 20, 2024	Causal Inference	CodeCode Available	0
Double Machine Learning for Causal Inference under Shared-State Interference	Apr 10, 2025	Causal InferenceRecommendation Systems	CodeCode Available	0
APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight	May 20, 2025	Causal InferenceDecision Making	CodeCode Available	0
COLD: Causal reasOning in cLosed Daily activities	Nov 29, 2024	Causal InferenceCommonsense Causal Reasoning	CodeCode Available	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