'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing | 0 | 0.34 | 2022 |
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. | 0 | 0.34 | 2021 |
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. | 0 | 0.34 | 2020 |
Robust Optimization for Fairness with Noisy Protected Groups | 0 | 0.34 | 2020 |
Pairwise Fairness For Ranking And Regression | 0 | 0.34 | 2019 |
Shape Constraints for Set Functions | 1 | 0.35 | 2019 |
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals | 2 | 0.36 | 2019 |
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. | 1 | 0.34 | 2018 |
Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering | 0 | 0.34 | 2018 |
Proxy Fairness. | 0 | 0.34 | 2018 |
Interpretable Set Functions. | 0 | 0.34 | 2018 |
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. | 0 | 0.34 | 2018 |