| Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun International Conference on Learning Representations (ICLR), 2019 | 145 | 2019 |
| Fair pipelines A Bower, SN Kitchen, L Niss, MJ Strauss, A Vargas, ... FAT-ML, 2017 | 65 | 2017 |
| The distribution of gaps between summands in generalized Zeckendorf decompositions A Bower, R Insoft, S Li, SJ Miller, P Tosteson Journal of Combinatorial Theory, Series A 135, 130-160, 2015 | 51* | 2015 |
| De-biasing “bias” measurement K Lum, Y Zhang, A Bower Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 37 | 2022 |
| Individually Fair Ranking A Bower, H Eftekhari, M Yurochkin, Y Sun International Conference on Learning Representations (ICLR), 2021 | 34 | 2021 |
| Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics T Lazovich, L Belli, A Gonzales, A Bower, U Tantipongpipat, K Lum, ... Patterns 3 (8), 2022 | 22 | 2022 |
| Debiasing representations by removing unwanted variation due to protected attributes A Bower, L Niss, Y Sun, A Vargo FAT-ML, 2018 | 18 | 2018 |
| Preference Modeling with Context-Dependent Salient Features A Bower, L Balzano International Conference on Machine Learning (ICML), 2020 | 17 | 2020 |
| Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems A Bower, K Lum, T Lazovich, K Yee, L Belli arXiv preprint arXiv:2209.05000, 2022 | 9 | 2022 |
| The Fibonacci Quarterly O Beckwith, A Bower, L Gaudet, R Insoft, S Li, SJ Miller, P Tosteson The average gap distribution for generalized Zeckendorf decompositions 51 (1 …, 2013 | 6 | 2013 |
| The landscape of non-convex quadratic feasibility A Bower, L Jain, L Balzano 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 4 | 2018 |
| Coordinate Sum and Difference Sets of d-Dimensional Modular Hyperbolas. A Bower, R Evans, V Luo, SJ Miller Integers 13, A31, 2013 | 3 | 2013 |
| Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics T Lazovich, L Belli, A Gonzales, A Bower, U Tantipongpipat, K Lum, ... Patterns 4 (8), 2023 | 2 | 2023 |
| Category Theory and Galois Theory A Bower Rose-Hulman Undergraduate Mathematics Journal 14 (1), 10, 2013 | 2 | 2013 |
| Training individually fair machine learning algorithms via distributionally robust optimization S Upadhyay, M Yurochkin, D Mukherjee, Y Sun, ARG Bower, SH Eftekhari, ... US Patent App. 17/213,167, 2022 | | 2022 |
| Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning AR Bower University of Michigan, 2020 | | 2020 |
| THE FUNDAMENTAL GROUP AND BROUWER’S FIXED POINT THEOREM A BOWER | | 2012 |
| Three roads back: whats fair got to do with it? A Bower Time 165 (12), 38-39, 2005 | | 2005 |
Yuekai SunUniversity of MichiganGeverifieerd e-mailadres voor umich.edu