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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 631–640 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causality-Driven Audits of Model Robustness	Oct 30, 2024	Causal Inferencemodel	—Unverified	0	0
Causality, Causal Discovery, and Causal Inference in Structural Engineering	Apr 4, 2022	Causal DiscoveryCausal Inference	—Unverified	0	0
Causality-Aware Neighborhood Methods for Recommender Systems	Dec 17, 2020	Causal InferenceRecommendation Systems	—Unverified	0	0
Causality and Explainability for Trustworthy Integrated Pest Management	Dec 7, 2023	Causal Inferencecounterfactual	—Unverified	0	0
Identification and Inference for Synthetic Control Methods with Spillover Effects: Estimating the Economic Cost of the Sudan Split	Aug 1, 2024	Bayesian InferenceCausal Inference	—Unverified	0	0
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes	Jan 9, 2025	Causal InferenceICU Admission	—Unverified	0	0
A Causal Inference Approach for Quantifying Research Impact	Mar 7, 2025	Causal Inferencecounterfactual	—Unverified	0	0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains	Jun 3, 2020	Autonomous DrivingCausal Inference	—Unverified	0	0
Causality-Aided Trade-off Analysis for Machine Learning Fairness	May 22, 2023	Causal DiscoveryCausal Inference	—Unverified	0	0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms	Dec 24, 2017	Causal Inferencecounterfactual	—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