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 1551–1575 of 1722 papers

Title	Date	Tasks	Status
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond	Dec 30, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available
Local Linear Forests	Jul 30, 2018	Causal InferenceHeterogeneous Treatment Effect Estimation	CodeCode Available
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	Dec 25, 2017	Causal InferenceConformal Prediction	CodeCode Available
Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures	Oct 24, 2021	Causal Inference	CodeCode Available
Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation	Nov 15, 2022	Causal Inferencecounterfactual	CodeCode Available
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems	Feb 23, 2022	Causal InferenceDataset Generation	CodeCode Available
Causality for Machine Learning	Nov 24, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available
Logic and Commonsense-Guided Temporal Knowledge Graph Completion	Nov 30, 2022	Causal InferenceKnowledge Graph Completion	CodeCode Available
Text-Transport: Toward Learning Causal Effects of Natural Language	Oct 31, 2023	AttributeCausal Inference	CodeCode Available
Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media	Apr 7, 2023	Causal Inference	CodeCode Available
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing	Jan 10, 2025	Causal InferenceExplainable artificial intelligence	CodeCode Available
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning	Aug 9, 2022	Causal InferenceMarketing	CodeCode Available
Poincare: Recommending Publication Venues via Treatment Effect Estimation	Oct 19, 2020	Causal InferenceRecommendation Systems	CodeCode Available
Long-term Causal Inference Under Persistent Confounding via Data Combination	Feb 15, 2022	Causal Inference	CodeCode Available
Explaining Text Classifiers with Counterfactual Representations	Feb 1, 2024	AttributeCausal Inference	CodeCode Available
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach	Dec 20, 2023	Autonomous NavigationCausal Inference	CodeCode Available
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments	Apr 16, 2025	BenchmarkingCausal Inference	CodeCode Available
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals	May 11, 2024	Anomaly DetectionCausal Inference	CodeCode Available
Machine Learning and Deep Learning -- A review for Ecologists	Apr 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available
Machine learning for causal inference: on the use of cross-fit estimators	Apr 21, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs	Aug 13, 2018	Causal Inferenceregression	CodeCode Available
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample	Oct 2, 2024	Action Unit DetectionCausal Inference	CodeCode Available
Policy Analysis using Synthetic Controls in Continuous-Time	Feb 2, 2021	Causal Inferencecounterfactual	CodeCode Available
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing	Aug 5, 2024	Causal Inferencecounterfactual	CodeCode Available
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases	May 23, 2025	Causal Inferencescientific discovery	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