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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 971–980 of 1722 papers

Title	Date	Tasks	Status	Hype
Unconditional Randomization Tests for Interference	Sep 14, 2024	Causal Inferencevalid	—Unverified	0
Graph Neural Networks for Causal Inference Under Network Confounding	Nov 15, 2022	Causal InferenceSelection bias	—Unverified	0
Uncovering Bias Mechanisms in Observational Studies	Jun 1, 2025	Causal Inference	—Unverified	0
Understanding Perceptual and Conceptual Fluency at a Large Scale	Sep 1, 2018	Causal Inference	—Unverified	0
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic	Oct 12, 2023	Causal InferenceMisinformation	—Unverified	0
Unfaithful Probability Distributions in Binary Triple of Causality Directed Acyclic Graph	Jan 30, 2025	Causal DiscoveryCausal Inference	—Unverified	0
Simultaneous Inference for Local Structural Parameters with Random Forests	May 13, 2024	Causal Inferenceregression	—Unverified	0
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory	Sep 13, 2022	Causal Inferencereinforcement-learning	—Unverified	0
Universal Decision Models	Oct 28, 2021	Causal Inference	—Unverified	0
Unveiling Causalities in SAR ATR: A Causal Interventional Approach for Limited Data	Aug 18, 2023	Causal InferenceData Augmentation	—Unverified	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