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 701–725 of 1722 papers

Title	Date	Tasks	Status
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs	Oct 25, 2023	Causal DiscoveryCausal Inference	CodeCode Available
Analyzing User Characteristics of Hate Speech Spreaders on Social Media	Oct 24, 2023	Causal InferenceSelection bias	—Unverified
Causal Inference Using LLM-Guided Discovery	Oct 23, 2023	Causal DiscoveryCausal Inference	—Unverified
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available
Metastable Financial Markets	Oct 19, 2023	Causal InferenceTime Series	—Unverified
Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit	Oct 18, 2023	Causal Inference	—Unverified
Assessing the Causal Impact of Humanitarian Aid on Food Security	Oct 17, 2023	Causal InferenceHumanitarian	—Unverified
Confounding-Robust Policy Improvement with Human-AI Teams	Oct 13, 2023	Causal InferenceSensitivity	—Unverified
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic	Oct 12, 2023	Causal InferenceMisinformation	—Unverified
Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects	Oct 12, 2023	Causal Inferencevalid	CodeCode Available
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality	Oct 11, 2023	AttributeCausal Inference	—Unverified
Differentially Private Multi-Site Treatment Effect Estimation	Oct 10, 2023	Causal InferenceFederated Learning	—Unverified
Projecting infinite time series graphs to finite marginal graphs using number theory	Oct 9, 2023	Causal DiscoveryCausal Inference	—Unverified
High Dimensional Causal Inference with Variational Backdoor Adjustment	Oct 9, 2023	Causal InferenceVariational Inference	CodeCode Available
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems	Oct 5, 2023	Causal DiscoveryCausal Inference	—Unverified
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder	Oct 3, 2023	Causal Inference	—Unverified
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference	Oct 3, 2023	Causal Inferenceregression	—Unverified
Logical Bias Learning for Object Relation Prediction	Oct 1, 2023	Causal InferenceDecision Making	—Unverified
Towards Causal Foundation Model: on Duality between Causal Inference and Attention	Oct 1, 2023	Causal Inference	—Unverified
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator	Sep 27, 2023	Causal Inference	CodeCode Available
Neural Network Parameter-optimization of Gaussian pmDAGs	Sep 25, 2023	Causal IdentificationCausal Inference	CodeCode Available
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks	Sep 23, 2023	Causal DiscoveryCausal Inference	—Unverified
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments	Sep 22, 2023	Causal Inferencecounterfactual	—Unverified
OpportunityFinder: A Framework for Automated Causal Inference	Sep 22, 2023	Causal Inference	—Unverified
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks	Sep 21, 2023	Causal InferenceGraph Attention	—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