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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 971–980 of 1722 papers

Title	Date	Tasks	Status	Hype
Machine Learning and Deep Learning -- A review for Ecologists	Apr 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Causality, Causal Discovery, and Causal Inference in Structural Engineering	Apr 4, 2022	Causal DiscoveryCausal Inference	—Unverified	0
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	Apr 4, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets	Mar 29, 2022	Causal InferenceDomain Adaptation	CodeCode Available	0
SurvCaus : Representation Balancing for Survival Causal Inference	Mar 29, 2022	Causal Inferencecounterfactual	CodeCode Available	0
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data	Mar 29, 2022	Causal DiscoveryCausal Inference	CodeCode Available	0
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation	Mar 26, 2022	Causal InferenceInformation Retrieval	—Unverified	0
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System	Mar 26, 2022	Causal InferenceDecision Making	—Unverified	0
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning	Mar 24, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace	Mar 21, 2022	Causal InferenceDecision Making	—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