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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 951–960 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Reimagining Urban Science: Scaling Causal Inference with Large Language Models	Apr 15, 2025	Causal Inference	—Unverified	0	0
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions	Mar 4, 2022	Causal InferenceDecision Making	—Unverified	0	0
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace	Feb 10, 2022	Causal Inferencereinforcement-learning	—Unverified	0	0
Reinterpreting causal discovery as the task of predicting unobserved joint statistics	May 11, 2023	Causal DiscoveryCausal Inference	—Unverified	0	0
Reinterpreting demand estimation	Mar 30, 2025	Causal Inferencecounterfactual	—Unverified	0	0
Relating Graph Neural Networks to Structural Causal Models	Sep 9, 2021	Causal Inference	—Unverified	0	0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability	Apr 10, 2025	Causal InferenceDecision Making	—Unverified	0	0
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?	Mar 14, 2023	Causal Inference	—Unverified	0	0
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck	Jun 7, 2019	Causal Inference	—Unverified	0	0
ReLU integral probability metric and its applications	Apr 26, 2025	Causal InferenceRepresentation Learning	—Unverified	0	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