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 1676–1700 of 1722 papers

Title	Date	Tasks	Status
Adaptive Nonparametric Perturbations of Parametric Bayesian Models	Dec 14, 2024	Bayesian InferenceCausal Inference	CodeCode Available
Adapting Neural Networks for the Estimation of Treatment Effects	Jun 5, 2019	Causal Inference	CodeCode Available
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in Conversations	Sep 15, 2023	Causal Emotion EntailmentCausal Inference	CodeCode Available
Zero-shot Causal Graph Extrapolation from Text via LLMs	Dec 22, 2023	Causal Inference	CodeCode Available
Identifiable causal inference with noisy treatment and no side information	Jun 18, 2023	Causal InferenceEconometrics	CodeCode Available
A Multi-level Neural Network for Implicit Causality Detection in Web Texts	Aug 18, 2019	Causal InferenceFeature Engineering	CodeCode Available
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability	Feb 27, 2025	Causal InferenceMulti-Armed Bandits	CodeCode Available
Transport-based Counterfactual Models	Aug 30, 2021	Causal Inferencecounterfactual	CodeCode Available
Quantile Causal Discovery	Jan 1, 2020	Causal DiscoveryCausal Inference	CodeCode Available
Standardizing Structural Causal Models	Jun 17, 2024	BenchmarkingCausal Inference	CodeCode Available
A Causal Framework for Evaluating Deferring Systems	May 29, 2024	Causal Inference	CodeCode Available
A Latent Causal Inference Framework for Ordinal Variables	Feb 14, 2025	Causal Inference	CodeCode Available
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions	May 5, 2022	Causal Inference	CodeCode Available
Treatment Effect Estimation with Observational Network Data using Machine Learning	Jun 29, 2022	Causal Inference	CodeCode Available
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders	Feb 22, 2024	Causal InferenceGaussian Processes	CodeCode Available
Bayesian Causal Inference with Gaussian Process Networks	Feb 1, 2024	Causal DiscoveryCausal Inference	CodeCode Available
Identifying Causal Structure in Dynamical Systems	Jun 6, 2020	Causal IdentificationCausal Inference	CodeCode Available
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction	May 3, 2022	Causal InferenceInformation Retrieval	CodeCode Available
BART: Bayesian additive regression trees	Jun 19, 2008	Causal InferenceDrug Discovery	CodeCode Available
Using LLMs for Explaining Sets of Counterfactual Examples to Final Users	Aug 27, 2024	Causal Inferencecounterfactual	CodeCode Available
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space	Nov 15, 2022	Causal InferenceRepresentation Learning	CodeCode Available
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges	Apr 26, 2024	Causal InferenceDistributed Computing	CodeCode Available
Identifying Patient-Specific Root Causes of Disease	May 23, 2022	Causal InferenceDiagnostic	CodeCode Available
A Practical Approach to Causal Inference over Time	Oct 14, 2024	Causal InferenceEconometrics	CodeCode Available
Identifying the Effect of Persuasion	Dec 6, 2018	Causal Inference	CodeCode Available

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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