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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	Score
Causal Inference Struggles with Agency on Online Platforms	Jul 19, 2021	Causal Inference	—Unverified	0	0
Causal Inference through a Witness Protection Program	Jun 2, 2014	Bayesian InferenceCausal Inference	—Unverified	0	0
Causal inference through multi-stage learning and doubly robust deep neural networks	Jul 11, 2024	Causal Inference	—Unverified	0	0
Estimation and Inference on Nonlinear and Heterogeneous Effects	Mar 16, 2017	BIG-bench Machine LearningCausal Inference	—Unverified	0	0
Causal Inference Tools for a Better Evaluation of Machine Learning	Oct 2, 2024	Causal InferenceEconometrics	—Unverified	0	0
Causal Inference Under Approximate Neighborhood Interference	Nov 16, 2019	Causal Inference	—Unverified	0	0
Causal Inference under Data Restrictions	Jan 20, 2023	Causal Inferencecounterfactual	—Unverified	0	0
Causal Inference Under Interference And Network Uncertainty	Jun 29, 2019	Causal Inference	—Unverified	0	0
Causal Inference under Interference through Designed Markets	Apr 9, 2025	Causal Inference	—Unverified	0	0
Causal Inference under Networked Interference and Intervention Policy Enhancement	Feb 20, 2020	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