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 1051–1075 of 1722 papers

Title	Date	Tasks	Status
A unified theory of information transfer and causal relation	Apr 21, 2022	Causal InferenceRelation	—Unverified
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction	Apr 20, 2022	Causal InferencePrediction	—Unverified
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition	Apr 17, 2022	Causal InferenceFacial Action Unit Detection	—Unverified
Causal Disentanglement with Network Information for Debiased Recommendations	Apr 14, 2022	Causal InferenceDisentanglement	—Unverified
Machine Learning and Deep Learning -- A review for Ecologists	Apr 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available
Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge	Apr 11, 2022	Causal DiscoveryCausal Inference	—Unverified
Causality, Causal Discovery, and Causal Inference in Structural Engineering	Apr 4, 2022	Causal DiscoveryCausal Inference	—Unverified
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data	Mar 29, 2022	Causal DiscoveryCausal Inference	CodeCode Available
SurvCaus : Representation Balancing for Survival Causal Inference	Mar 29, 2022	Causal Inferencecounterfactual	CodeCode Available
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets	Mar 29, 2022	Causal InferenceDomain Adaptation	CodeCode Available
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation	Mar 26, 2022	Causal InferenceInformation Retrieval	—Unverified
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System	Mar 26, 2022	Causal InferenceDecision Making	—Unverified
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning	Mar 24, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace	Mar 21, 2022	Causal InferenceDecision Making	—Unverified
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies	Mar 18, 2022	Causal InferenceTime Series Analysis	—Unverified
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning	Mar 12, 2022	Causal InferenceInductive Learning	—Unverified
Identifiability of Causal-based Fairness Notions: A State of the Art	Mar 11, 2022	BIG-bench Machine LearningCausal Inference	—Unverified
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials	Mar 10, 2022	Causal Inferencecounterfactual	—Unverified
Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients	Mar 9, 2022	Causal InferenceDecision Making	—Unverified
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang	Mar 9, 2022	Causal DiscoveryCausal Inference	CodeCode Available
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation	Mar 7, 2022	Additive modelsCausal Inference	—Unverified
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions	Mar 4, 2022	Causal InferenceDecision Making	—Unverified
The Cost of Influence: How Gifts to Physicians Shape Prescriptions and Drug Costs	Mar 3, 2022	Causal Inference	—Unverified
Neural Score Matching for High-Dimensional Causal Inference	Mar 1, 2022	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available
Estimating causal effects with optimization-based methods: A review and empirical comparison	Feb 28, 2022	Causal Inference	—Unverified

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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