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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 711–720 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions	Dec 1, 2012	Causal Inference	—Unverified	0	0
A Causal Framework for Decomposing Spurious Variations	Jun 8, 2023	Causal InferenceEpidemiology	—Unverified	0	0
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation	May 16, 2025	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 through multi-stage learning and doubly robust deep neural networks	Jul 11, 2024	Causal Inference	—Unverified	0	0
Causal Inference through a Witness Protection Program	Jun 2, 2014	Bayesian InferenceCausal Inference	—Unverified	0	0
Causal Inference Struggles with Agency on Online Platforms	Jul 19, 2021	Causal Inference	—Unverified	0	0
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)	Jan 30, 2025	Anomaly DetectionCausal Inference	—Unverified	0	0
Causal Inference out of Control: Estimating the Steerability of Consumption	Feb 10, 2023	Causal InferenceEconometrics	—Unverified	0	0
A Unifying Framework for Robust and Efficient Inference with Unstructured Data	May 1, 2025	Causal InferenceDescriptive	—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