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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 951–960 of 1722 papers

Title	Date	Tasks	Status	Hype
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment	May 20, 2022	Causal InferenceFairness	CodeCode Available	0
Causal Inference from Small High-dimensional Datasets	May 19, 2022	Causal InferenceTransfer Learning	—Unverified	0
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis	May 12, 2022	Causal InferenceRelation	CodeCode Available	0
SoK: Blockchain Decentralization	May 9, 2022	Causal InferenceDescriptive	CodeCode Available	1
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation	May 6, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions	May 5, 2022	Causal Inference	CodeCode Available	0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction	May 3, 2022	Causal InferenceInformation Retrieval	CodeCode Available	0
CaM-Gen: Causally Aware Metric-Guided Text Generation	May 1, 2022	Causal InferenceText Generation	—Unverified	0
Conceptualizing Treatment Leakage in Text-based Causal Inference	May 1, 2022	Causal Inference	—Unverified	0
Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset	Apr 28, 2022	Causal DiscoveryCausal Inference	—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