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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 641–650 of 1722 papers

Title	Date	Tasks	Status	Hype
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees	Feb 5, 2018	Causal Inference	—Unverified	0
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation	Mar 7, 2022	Additive modelsCausal Inference	—Unverified	0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference	Oct 18, 2024	Causal Inferencecounterfactual	—Unverified	0
Credit Ratings: Heterogeneous Effect on Capital Structure	Jun 27, 2024	Causal InferenceVariable Selection	—Unverified	0
CRepair: CVAE-based Automatic Vulnerability Repair Technology	Nov 8, 2024	Causal Inference	—Unverified	0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems	Dec 22, 2022	Causal InferenceQuantization	—Unverified	0
Compositional Models for Estimating Causal Effects	Jun 25, 2024	Causal Inferencecounterfactual	—Unverified	0
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy	Jul 8, 2021	Causal Inference	—Unverified	0
CRTRE: Causal Rule Generation with Target Trial Emulation Framework	Nov 10, 2024	Causal InferencePrediction	—Unverified	0
Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension	Nov 17, 2023	Causal InferenceReading Comprehension	—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