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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

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Showing 51–100 of 1722 papers

TitleStatusHype
DeCaFlow: A Deconfounding Causal Generative ModelCode1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in SpaceCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Causal Autoregressive FlowsCode1
CausalCite: A Causal Formulation of Paper CitationsCode1
Active Bayesian Causal InferenceCode1
Disentangling ID and Modality Effects for Session-based RecommendationCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
Causal Structure Learning Supervised by Large Language ModelCode1
Double Machine Learning for Static Panel Models with Fixed EffectsCode1
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender SystemCode1
Counterfactual Generative Modeling with Variational Causal InferenceCode1
Causal Modeling with Stationary DiffusionsCode1
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
CausalNLP: A Practical Toolkit for Causal Inference with TextCode1
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark FrameworkCode1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine LearningCode1
Causal Knowledge Guided Societal Event ForecastingCode1
Causal Parrots: Large Language Models May Talk Causality But Are Not CausalCode1
Causal Inference for Spatial TreatmentsCode1
Causal Inference for Qualitative OutcomesCode1
Training a Resilient Q-Network against Observational InterferenceCode1
An Influence-based Approach for Root Cause Alarm Discovery in Telecom NetworksCode1
Causal intersectionality for fair rankingCode1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
Causal Inference in Recommender Systems: A Survey and Future DirectionsCode1
Causal Modeling of Twitter Activity During COVID-19Code1
Adversarial Counterfactual Learning and Evaluation for Recommender SystemCode1
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication RecommendationCode1
A Structural Causal Model for MR Images of Multiple SclerosisCode1
Causal Reinforcement Learning using Observational and Interventional DataCode1
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment EffectsCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
A Survey on Causal Inference for RecommendationCode1
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable DecompositionCode1
Automatic Detection of Influential Actors in Disinformation NetworksCode1
A framework for causal segmentation analysis with machine learning in large-scale digital experimentsCode1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
Contextual Debiasing for Visual Recognition With Causal MechanismsCode1
Autoregressive flow-based causal discovery and inferenceCode1
Causal Incremental Graph Convolution for Recommender System RetrainingCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
CausalEGM: a general causal inference framework by encoding generative modelingCode1
A Graph Neural Network Framework for Causal Inference in Brain NetworksCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Can Large Language Models Infer Causation from Correlation?Code1
Causal Inference for Chatting HandoffCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified