Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun International Conference on Learning Representations (ICLR), 2019 | 119 | 2019 |
Fair pipelines A Bower, SN Kitchen, L Niss, MJ Strauss, A Vargas, ... FAT-ML, 2017 | 58 | 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 | 49* | 2015 |
Individually Fair Ranking A Bower, H Eftekhari, M Yurochkin, Y Sun International Conference on Learning Representations (ICLR), 2021 | 29 | 2021 |
De-biasing “bias” measurement K Lum, Y Zhang, A Bower Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 23 | 2022 |
Debiasing representations by removing unwanted variation due to protected attributes A Bower, L Niss, Y Sun, A Vargo FAT-ML, 2018 | 18 | 2018 |
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 | 16 | 2022 |
Preference Modeling with Context-Dependent Salient Features A Bower, L Balzano International Conference on Machine Learning (ICML), 2020 | 14 | 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 | 4 | 2022 |
The landscape of non-convex quadratic feasibility A Bower, L Jain, L Balzano 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 3 | 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 |
Category Theory and Galois Theory A Bower Rose-Hulman Undergraduate Mathematics Journal 14 (1), 10, 2013 | 1 | 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 | | 2023 |
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 |