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 926–950 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa	Jun 13, 2022	Causal Inference	CodeCode Available	1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	Jun 13, 2022	Causal InferenceFault Diagnosis	CodeCode Available	1
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data	Jun 9, 2022	Causal Inferencestatistical independence testing	CodeCode Available	0
Confounder Analysis in Measuring Representation in Product Funnels	Jun 7, 2022	Causal Inference	—Unverified	0
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach	Jun 5, 2022	Causal Inference	—Unverified	0
Active Bayesian Causal Inference	Jun 4, 2022	Active LearningCausal Discovery	CodeCode Available	1
Combinatorial Causal Bandits	Jun 4, 2022	Causal Inference	CodeCode Available	0
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data	Jun 4, 2022	Causal Inferencevalid	CodeCode Available	0
Prescriptive maintenance with causal machine learning	Jun 3, 2022	BIG-bench Machine LearningCausal Inference	—Unverified	0
Revisiting the General Identifiability Problem	Jun 2, 2022	Causal Inference	—Unverified	0
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization	Jun 2, 2022	Causal Inferencecounterfactual	—Unverified	0
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text	Jun 1, 2022	Causal InferenceSentiment Analysis	—Unverified	0
Causal Explanations for Sequential Decision Making Under Uncertainty	May 30, 2022	Causal InferenceDecision Making	—Unverified	0
A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning	May 30, 2022	AttributeCausal Inference	CodeCode Available	0
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects	May 29, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Detecting hidden confounding in observational data using multiple environments	May 27, 2022	Causal Inference	CodeCode Available	0
Counterfactual Fairness with Partially Known Causal Graph	May 27, 2022	BIG-bench Machine LearningCausal Inference	—Unverified	0
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior	May 27, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes	May 26, 2022	Causal InferenceOffline RL	—Unverified	0
Leveraging Causal Inference for Explainable Automatic Program Repair	May 26, 2022	Bug fixingCausal Inference	—Unverified	0
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model	May 25, 2022	Causal InferenceDiagnostic	—Unverified	0
Identifying Patient-Specific Root Causes of Disease	May 23, 2022	Causal InferenceDiagnostic	CodeCode Available	0
Causal Machine Learning for Healthcare and Precision Medicine	May 23, 2022	BIG-bench Machine LearningCausal Discovery	—Unverified	0
Neuroevolutionary Feature Representations for Causal Inference	May 21, 2022	Causal Inference	—Unverified	0
A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond	May 20, 2022	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