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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 841–850 of 1722 papers

Title	Date	Tasks	Status	Hype
Validating Causal Inference Methods	Feb 9, 2022	Causal Inferencecounterfactual	—Unverified	0
Evaluating Digital Agriculture Recommendations with Causal Inference	Nov 30, 2022	Causal Inference	—Unverified	0
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference	Nov 6, 2022	Causal Inference	—Unverified	0
Evaluating Fairness Metrics in the Presence of Dataset Bias	Sep 24, 2018	Bias DetectionCausal Inference	—Unverified	0
Evaluating Interventional Reasoning Capabilities of Large Language Models	Apr 8, 2024	Causal InferenceDecision Making	—Unverified	0
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach	Mar 25, 2021	Causal Inference	—Unverified	0
Causal Inference in medicine and in health policy, a summary	May 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Evaluation Methods and Measures for Causal Learning Algorithms	Feb 7, 2022	BenchmarkingBIG-bench Machine Learning	—Unverified	0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records	Nov 21, 2022	Causal InferenceDecision Making	—Unverified	0
An Introduction to Causal Discovery	Jul 11, 2024	Causal DiscoveryCausal 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