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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 1661–1670 of 1722 papers

Title	Date	Tasks	Status	Hype
Proximal Causal Inference With Text Data	Jan 12, 2024	Causal Inference	CodeCode Available	0
Towards Trustworthy Explanation: On Causal Rationalization	Jun 25, 2023	Causal Inference	CodeCode Available	0
Interpretable Almost Matching Exactly for Causal Inference	Jun 18, 2018	Causal Inference	CodeCode Available	0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children	May 10, 2025	Causal DiscoveryCausal Inference	CodeCode Available	0
History-dependence shapes causal inference of brain-behaviour relationships	Mar 1, 2024	Causal Inference	CodeCode Available	0
HNCI: High-Dimensional Network Causal Inference	Dec 24, 2024	Causal Inferenceregression	CodeCode Available	0
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes	Oct 28, 2021	Causal InferenceManagement	CodeCode Available	0
Adversarial Balancing for Causal Inference	Oct 17, 2018	Causal Inference	CodeCode Available	0
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator	Sep 27, 2023	Causal Inference	CodeCode Available	0
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data	Sep 28, 2024	Causal DiscoveryCausal Inference	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