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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 501–510 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Treatment effects without multicollinearity? Temporal order and the Gram-Schmidt process in causal inference	Feb 27, 2024	Causal InferenceReading Comprehension	CodeCode Available	0	5
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Feb 12, 2024	Causal InferenceDisentanglement	CodeCode Available	0	5
COLD: Causal reasOning in cLosed Daily activities	Nov 29, 2024	Causal InferenceCommonsense Causal Reasoning	CodeCode Available	0	5
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?	Feb 3, 2025	Causal Inferencecounterfactual	CodeCode Available	0	5
Can Transformers Do Enumerative Geometry?	Aug 27, 2024	Activation Function SynthesisCausal Inference	CodeCode Available	0	5
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing	Aug 5, 2024	Causal Inferencecounterfactual	CodeCode Available	0	5
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases	May 23, 2025	Causal Inferencescientific discovery	CodeCode Available	0	5
Combinatorial Causal Bandits	Jun 4, 2022	Causal Inference	CodeCode Available	0	5
Structural Intervention Distance (SID) for Evaluating Causal Graphs	Jun 5, 2013	Causal Inference	CodeCode Available	0	5
Confounding Feature Acquisition for Causal Effect Estimation	Nov 17, 2020	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