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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
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial	Jul 10, 2023	Causal Inference	—Unverified	0
Counterfactual Explanation for Fairness in Recommendation	Jul 10, 2023	AttributeCausal Inference	—Unverified	0
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference	Jul 3, 2023	Causal Inferencecounterfactual	—Unverified	0
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning	Jun 30, 2023	Causal InferenceMedical Report Generation	CodeCode Available	3
Causal inference for the expected number of recurrent events in the presence of a terminal event	Jun 28, 2023	Causal Inference	—Unverified	0
Predictive Coding beyond Correlations	Jun 27, 2023	Bayesian InferenceCausal Discovery	—Unverified	0
Towards Trustworthy Explanation: On Causal Rationalization	Jun 25, 2023	Causal Inference	CodeCode Available	0
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions	Jun 25, 2023	Causal Inference	—Unverified	0
Estimating the Causal Effect of Early ArXiving on Paper Acceptance	Jun 24, 2023	Causal Inference	CodeCode Available	1
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation	Jun 21, 2023	Causal InferenceRepresentation Learning	CodeCode Available	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