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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 1191–1200 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Adaptive Multi-Source Causal Inference	May 31, 2021	Causal InferenceTransfer Learning	—Unverified	0	0
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series	Mar 4, 2024	Causal InferenceTime Series	—Unverified	0	0
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects	Nov 12, 2021	BenchmarkingCausal Inference	—Unverified	0	0
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving	Jun 4, 2025	Autonomous DrivingCausal Inference	—Unverified	0	0
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform	Jun 8, 2017	Causal Inference	—Unverified	0	0
A deep causal inference model for fully-interpretable travel behaviour analysis	May 2, 2024	Causal Inferencecounterfactual	—Unverified	0	0
A Density Ratio Super Learner	Aug 9, 2024	Causal Inference	—Unverified	0	0
A design of human-like robust AI machines in object identification	Jan 7, 2021	Causal InferenceCommon Sense Reasoning	—Unverified	0	0
A discriminative approach for finding and characterizing positivity violations using decision trees	Jul 18, 2019	Causal Inferencevalid	—Unverified	0	0
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference	Sep 21, 2020	Causal Inference	—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