| Accuracy and fairness trade-offs in machine learning: A stochastic multi-objective approach S Liu, LN Vicente Computational Management Science 19 (3), 513-537, 2022 | 72 | 2022 |
| The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning S Liu, LN Vicente Annals of Operations Research, 1-30, 2021 | 69 | 2021 |
| A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering S Liu, LN Vicente International Conference on Learning and Intelligent Optimization, 77-92, 2022 | 14 | 2022 |
| Convergence rates of the stochastic alternating algorithm for bi-objective optimization S Liu, LN Vicente Journal of Optimization Theory and Applications 198 (1), 165-186, 2023 | 4 | 2023 |
| The Sharpe predictor for fairness in machine learning S Liu, LN Vicente arXiv preprint arXiv:2108.06415, 2021 | 3 | 2021 |
| A New Adaptive Slicing Algorithm Based on Slice Contour Construction in Layered Manufacturing Process S Liu, A Joneja, K Tang Hong Kong University of Science and Technology, 2017 | 3 | 2017 |
| Fair machine learning through constrained stochastic optimization and an -constraint method FE Curtis, S Liu, DP Robinson Optimization Letters, 1-17, 2023 | | 2023 |
| A Review of Multi-Objective Optimization: Theory and Algorithms S Liu, LN Vicente | | 2020 |
| Online Convex Optimization in the Bandit Setting S Liu | | 2019 |
Luis Nunes VicenteLehigh UniversityVerified email at lehigh.edu
