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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 871–880 of 1722 papers

Title	Date	Tasks	Status	Hype
Stability of Linear Structural Equation Models of Causal Inference	May 16, 2019	Causal InferenceSociology	—Unverified	0
Stabilized Inverse Probability Weighting via Isotonic Calibration	Nov 10, 2024	Causal Inference	—Unverified	0
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations	Aug 16, 2023	Causal InferenceRepresentation Learning	—Unverified	0
Statistical Agnostic Regression: a machine learning method to validate regression models	Feb 23, 2024	Causal InferenceData Integration	—Unverified	0
STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization	Jan 29, 2025	Causal Inference	—Unverified	0
STOAT: Spatial-Temporal Probabilistic Causal Inference Network	Jun 11, 2025	Causal Inference	—Unverified	0
Stochastic Intervention for Causal Effect Estimation	May 27, 2021	Causal InferenceDecision Making	—Unverified	0
Stochastic Intervention for Causal Inference via Reinforcement Learning	May 28, 2021	Causal InferenceDecision Making	—Unverified	0
Stochastic Tree Ensembles for Estimating Heterogeneous Effects	Sep 15, 2022	Causal Inference	—Unverified	0
Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit	Oct 18, 2023	Causal Inference	—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