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 226–250 of 1722 papers

Title	Date	Tasks	Status	Score
Bayesian Causal Inference with Gaussian Process Networks	Feb 1, 2024	Causal DiscoveryCausal Inference	CodeCode Available	5
A Causal Framework for Evaluating Deferring Systems	May 29, 2024	Causal Inference	CodeCode Available	5
A Primer on Deep Learning for Causal Inference	Oct 9, 2021	Causal InferenceDeep Learning	CodeCode Available	5
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects	Jan 1, 2023	Causal InferenceFederated Learning	CodeCode Available	5
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available	5
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Automatic doubly robust inference for linear functionals via calibrated debiased machine learning	Nov 5, 2024	Causal Inferenceregression	CodeCode Available	5
Detecting clinician implicit biases in diagnoses using proximal causal inference	Jan 27, 2025	AttributeCausal Inference	CodeCode Available	5
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference	Apr 30, 2024	Causal InferenceRecommendation Systems	CodeCode Available	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	5
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Direct-Effect Risk Minimization for Domain Generalization	Nov 26, 2022	Causal InferenceDomain Generalization	CodeCode Available	5
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data	Jun 4, 2022	Causal Inferencevalid	CodeCode Available	5
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis	Feb 14, 2018	BenchmarkingCausal Inference	CodeCode Available	5
A Multi-level Neural Network for Implicit Causality Detection in Web Texts	Aug 18, 2019	Causal InferenceFeature Engineering	CodeCode Available	5
Ancestral Causal Inference	Jun 22, 2016	Causal DiscoveryCausal Inference	CodeCode Available	5
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Apr 30, 2020	Causal InferencePoint Processes	CodeCode Available	5
Adaptive Nonparametric Perturbations of Parametric Bayesian Models	Dec 14, 2024	Bayesian InferenceCausal Inference	CodeCode Available	5
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions	Jul 20, 2017	Causal InferenceDomain Adaptation	CodeCode Available	5
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator	Sep 27, 2023	Causal Inference	CodeCode Available	5
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression	Mar 22, 2024	Causal Inferenceregression	CodeCode Available	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	5
Bias and high-dimensional adjustment in observational studies of peer effects	Jun 14, 2017	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	5

Show:10 25 50

← PrevPage 10 of 69Next →

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