Showing 1–10 of 10 results
/ Date/ Name
Oct 17, 2023From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative ModelingSep 15, 2023Local Differential Privacy in Graph Neural Networks: a Reconstruction ApproachJun 2, 2023Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsNov 11, 2019Fairness through Equality of EffortOct 20, 2019PC-Fairness: A Unified Framework for Measuring Causality-based FairnessSep 13, 2018Fairness-aware Classification: Criterion, Convexity, and BoundsMar 5, 2018On Discrimination Discovery and Removal in Ranked Data using Causal GraphFeb 28, 2017Achieving non-discrimination in predictionNov 22, 2016A causal framework for discovering and removing direct and indirect discriminationNov 22, 2016Achieving non-discrimination in data release