Coordinate Sum and Difference Sets of d-Dimensional Modular Hyperbolas. - Amanda Bower; Ron Evans; Victor Luo; Steven J. Miller 001 (Integers, 2013)

The distribution of gaps between summands in generalized Zeckendorf decompositions. - Amanda Bower; Rachel Insoft; Shiyu Li; Steven J. Miller 001; Philip Tosteson (J. Comb. Theory A, 2015)

Fair Pipelines. - Amanda Bower; Sarah N. Kitchen; Laura Niss; Martin J. Strauss; Alexander Vargas; Suresh Venkatasubramanian (CoRR, 2017)

The Landscape of Non-Convex Quadratic Feasibility. - Amanda Bower; Lalit Jain; Laura Balzano (ICASSP, 2018)

Debiasing representations by removing unwanted variation due to protected attributes. - Amanda Bower; Laura Niss; Yuekai Sun; Alexander Vargo (CoRR, 2018)

Learning fair predictors with Sensitive Subspace Robustness. - Mikhail Yurochkin; Amanda Bower; Yuekai Sun (CoRR, 2019)

Training individually fair ML models with sensitive subspace robustness. - Mikhail Yurochkin; Amanda Bower; Yuekai Sun (ICLR, 2020)

Preference Modeling with Context-Dependent Salient Features. - Amanda Bower; Laura Balzano (ICML, 2020)

Individually Fair Rankings. - Amanda Bower; Hamid Eftekhari; Mikhail Yurochkin; Yuekai Sun (ICLR, 2021)

Individually Fair Ranking. - Amanda Bower; Hamid Eftekhari; Mikhail Yurochkin; Yuekai Sun (CoRR, 2021)

De-biasing "bias" measurement. - Kristian Lum; Yunfeng Zhang; Amanda Bower (FAccT, 2022)

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. - Amanda Bower; Kristian Lum; Tomo Lazovich; Kyra Yee; Luca Belli (CoRR, 2022)

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. - Tomo Lazovich; Luca Belli; Aaron Gonzales; Amanda Bower; Uthaipon Tantipongpipat; Kristian Lum; Ferenc Huszár; Rumman Chowdhury (Patterns, 2022)