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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 701–710 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands	Jan 21, 2025	Causal InferenceModel Selection	—Unverified	0	0
Causal Inference under Interference through Designed Markets	Apr 9, 2025	Causal Inference	—Unverified	0	0
Causal Inference Under Interference And Network Uncertainty	Jun 29, 2019	Causal Inference	—Unverified	0	0
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition	Jul 9, 2017	Causal Inference	—Unverified	0	0
ALCM: Autonomous LLM-Augmented Causal Discovery Framework	May 2, 2024	Causal DiscoveryCausal Inference	—Unverified	0	0
Causal Inference under Data Restrictions	Jan 20, 2023	Causal Inferencecounterfactual	—Unverified	0	0
Causal Inference Under Approximate Neighborhood Interference	Nov 16, 2019	Causal Inference	—Unverified	0	0
Automated hypothesis generation via Evolutionary Abduction	Sep 29, 2021	Causal InferenceIntent Recognition	—Unverified	0	0
Causal Inference Tools for a Better Evaluation of Machine Learning	Oct 2, 2024	Causal InferenceEconometrics	—Unverified	0	0
A Layered Architecture for Universal Causality	Dec 18, 2022	Causal InferenceLEMMA	—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