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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 651–660 of 1722 papers

Title	Date	Tasks	Status	Hype
Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features	Jun 20, 2023	Causal InferenceInterpretable Machine Learning	—Unverified	0
Generalized Random Forests using Fixed-Point Trees	Jun 20, 2023	Causal InferenceComputational Efficiency	CodeCode Available	0
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals	Jun 20, 2023	Causal Inference	—Unverified	0
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems	Jun 20, 2023	Causal Inferencecounterfactual	—Unverified	0
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference	Jun 19, 2023	AttributeCausal Inference	CodeCode Available	1
Identifiable causal inference with noisy treatment and no side information	Jun 18, 2023	Causal InferenceEconometrics	CodeCode Available	0
Can predictive models be used for causal inference?	Jun 18, 2023	Causal Inferencefeature selection	—Unverified	0
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding	Jun 15, 2023	Causal InferenceConformal Prediction	—Unverified	0
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model	Jun 15, 2023	Causal InferenceDemand Forecasting	—Unverified	0
Inferring dynamic regulatory interaction graphs from time series data with perturbations	Jun 13, 2023	Causal InferenceGraph Attention	—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