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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 471–480 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	Causal Inference	CodeCode Available	0	5
Policy Analysis using Synthetic Controls in Continuous-Time	Feb 2, 2021	Causal Inferencecounterfactual	CodeCode Available	0	5
Compositional Probabilistic and Causal Inference using Tractable Circuit Models	Apr 17, 2023	Causal Inference	CodeCode Available	0	5
Predicting the impact of treatments over time with uncertainty aware neural differential equations	Feb 24, 2022	Causal Inferencecounterfactual	CodeCode Available	0	5
Causality-oriented robustness: exploiting general noise interventions	Jul 18, 2023	Causal InferenceDomain Adaptation	CodeCode Available	0	5
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available	0	5
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects	May 20, 2018	Causal Inference	CodeCode Available	0	5
ProDAG: Projected Variational Inference for Directed Acyclic Graphs	May 24, 2024	Causal InferenceCombinatorial Optimization	CodeCode Available	0	5
COLD: Causal reasOning in cLosed Daily activities	Nov 29, 2024	Causal InferenceCommonsense Causal Reasoning	CodeCode Available	0	5
Combinatorial Causal Bandits	Jun 4, 2022	Causal Inference	CodeCode Available	0	5

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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