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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 921–930 of 1722 papers

Title	Date	Tasks	Status	Hype
The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment	Nov 13, 2023	Causal Inference	—Unverified	0
The Impact of the #MeToo Movement on Language at Court -- A text-based causal inference approach	Sep 1, 2022	Causal InferenceSentiment Analysis	—Unverified	0
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing	Mar 3, 2024	Causal Inferenceregression	—Unverified	0
The Inflation Technique for Causal Inference with Latent Variables	Sep 2, 2016	Causal Inference	—Unverified	0
The Inflation Technique Completely Solves the Causal Compatibility Problem	Jul 20, 2017	Causal Inference	—Unverified	0
The Local Approach to Causal Inference under Network Interference	May 9, 2021	Causal Inferencevalid	—Unverified	0
The Logic of Counterfactuals and the Epistemology of Causal Inference	May 18, 2024	Causal InferencePhilosophy	—Unverified	0
Causal inference and policy evaluation without a control group	Dec 10, 2023	Causal Inferencecounterfactual	—Unverified	0
The Noisy-Logical Distribution and its Application to Causal Inference	Dec 1, 2007	Causal Inference	—Unverified	0
The Proximal ID Algorithm	Aug 15, 2021	Causal Inferencevalid	—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