Showing 1–20 of 20 results
/ Date/ Name
Jun 14, 2020Fair Influence Maximization: A Welfare Optimization ApproachFeb 21, 2021Towards the Unification and Robustness of Perturbation and Gradient Based ExplanationsJun 1, 2019Network Formation under Random Attack and Probabilistic SpreadFeb 18, 2023Improving Fairness in Adaptive Social Exergames via Shapley BanditsJun 6, 2015Learning from Rational Behavior: Predicting Solutions to Unknown Linear ProgramsOct 2, 2024Learning-Augmented Robust Algorithmic RecourseNov 1, 2022TorchFL: A Performant Library for Bootstrapping Federated Learning ExperimentsAug 30, 2018Fair Algorithms for Learning in Allocation ProblemsJun 8, 2021Solving Structured Hierarchical Games Using Differential Backward InductionFeb 21, 2021A Game-Theoretic Approach for Hierarchical Epidemic ControlAug 14, 2015Online Assignment of Heterogeneous Tasks in Crowdsourcing MarketsNov 9, 2016Fairness in Reinforcement LearningFeb 3, 2022The Disagreement Problem in Explainable Machine Learning: A Practitioner's PerspectiveMay 22, 2019Equilibrium Characterization for Data Acquisition GamesNov 16, 2015Strategic Network Formation with Attack and ImmunizationJun 7, 2017A Convex Framework for Fair RegressionSep 25, 2025Optimal Robust Recourse with $L^p$-Bounded Model ChangeJan 7, 2021Active Screening for Recurrent Diseases: A Reinforcement Learning ApproachMar 27, 2017Fairness in Criminal Justice Risk Assessments: The State of the ArtOct 17, 2025In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions