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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 991–1000 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Shared Causal Paths underlying Alzheimer's dementia and Type 2 Diabetes	Jan 16, 2019	Causal InferenceVocal Bursts Type Prediction	—Unverified	0	0
Short-term shock, long-lasting payment: Evidence from the Lushan Earthquake	Dec 3, 2022	Causal Inference	—Unverified	0	0
Signal Processing on Directed Graphs	Aug 2, 2020	Causal Inference	—Unverified	0	0
Simple rules for complex decisions	Feb 15, 2017	Causal Inferencecounterfactual	—Unverified	0	0
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering	Dec 27, 2022	Causal Inferencecounterfactual	—Unverified	0	0
Simplifying Probabilistic Expressions in Causal Inference	Jun 19, 2018	Causal Inference	—Unverified	0	0
Size of Interventional Markov Equivalence Classes in Random DAG Models	Mar 5, 2019	Causal InferenceExperimental Design	—Unverified	0	0
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang	Oct 16, 2021	Causal DiscoveryCausal Inference	—Unverified	0	0
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening	Oct 2, 2024	Causal Inference	—Unverified	0	0
Smiles in Profiles: Improving Efficiency While Reducing Disparities in Online Marketplaces	Sep 2, 2022	Causal Inferencecounterfactual	—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