Showing 1–20 of 20 results
/ Date/ Name
Oct 5, 2025FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered AgentsMay 3, 2025Causally Fair Node Classification on Non-IID Graph DataMar 29, 2025FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware MinimizationDec 6, 2024Towards counterfactual fairness through auxiliary variablesMay 13, 2024AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection LabDec 15, 2023Integrating Fairness and Model Pruning Through Bi-level OptimizationOct 29, 2023SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts ModelsOct 17, 2023From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative ModelingSep 28, 2023Algorithmic Recourse in Abnormal Multivariate Time SeriesSep 15, 2023Local Differential Privacy in Graph Neural Networks: a Reconstruction ApproachJun 2, 2023Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsMar 4, 2023Achieving Counterfactual Fairness for Anomaly DetectionDec 8, 2022On Root Cause Localization and Anomaly Mitigation through Causal InferenceNov 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