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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 1571–1580 of 1722 papers

Title	Date	Tasks	Status	Hype
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs	Aug 13, 2018	Causal Inferenceregression	CodeCode Available	0
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample	Oct 2, 2024	Action Unit DetectionCausal Inference	CodeCode Available	0
Policy Analysis using Synthetic Controls in Continuous-Time	Feb 2, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing	Aug 5, 2024	Causal Inferencecounterfactual	CodeCode Available	0
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases	May 23, 2025	Causal Inferencescientific discovery	CodeCode Available	0
Machine learning in policy evaluation: new tools for causal inference	Mar 1, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Semi-supervised learning and the question of true versus estimated propensity scores	Sep 14, 2020	Causal Inference	CodeCode Available	0
A neural network oracle for quantum nonlocality problems in networks	Jul 24, 2019	Causal Inference	CodeCode Available	0
A Neural Framework for Generalized Causal Sensitivity Analysis	Nov 27, 2023	Causal InferenceSensitivity	CodeCode Available	0
The Blessings of Multiple Causes	May 17, 2018	Causal Inference	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