Showing 1–14 of 14 results
/ Date/ Name
Nov 15, 2019Fair Data Adaptation with Quantile PreservationMay 24, 2024Fairness-Accuracy Trade-Offs: A Causal PerspectiveJul 23, 2022Causal Fairness AnalysisMay 24, 2024Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-MakingNov 4, 2025Epidemiology of Large Language Models: A Benchmark for Observational Distribution KnowledgeJun 8, 2023A Causal Framework for Decomposing Spurious VariationsNov 13, 2024Interaction Testing in Variation AnalysisJun 8, 2023Reconciling Predictive and Statistical Parity: A Causal ApproachJun 8, 2023Causal Fairness for Outcome ControlOct 19, 2021fairadapt: Causal Reasoning for Fair Data Pre-processingJan 9, 2025An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) OutcomesJul 12, 2021Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learningAug 2, 2021ricu: R's Interface to Intensive Care DataDec 14, 2023Fair Clustering: A Causal Perspective