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2020 – today
- 2023
[j4]Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4(8): 100822 (2023)- 2022
- [j3]Tomo Lazovich
, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3(8): 100568 (2022) - [c5]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. FAccT 2022: 379-389 - [i8]Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury:
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR abs/2202.01615 (2022) - [i7]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. CoRR abs/2205.05770 (2022) - [i6]Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli:
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. CoRR abs/2209.05000 (2022) - 2021
- [c4]Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun:
Individually Fair Rankings. ICLR 2021 - [i5]Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun:
Individually Fair Ranking. CoRR abs/2103.11023 (2021) - 2020
- [c3]Mikhail Yurochkin, Amanda Bower, Yuekai Sun:
Training individually fair ML models with sensitive subspace robustness. ICLR 2020 - [c2]Amanda Bower, Laura Balzano:
Preference Modeling with Context-Dependent Salient Features. ICML 2020: 1067-1077 - [i4]Amanda Bower, Laura Balzano:
Preference Modeling with Context-Dependent Salient Features. CoRR abs/2002.09615 (2020)
2010 – 2019
- 2019
- [i3]Mikhail Yurochkin, Amanda Bower, Yuekai Sun:
Learning fair predictors with Sensitive Subspace Robustness. CoRR abs/1907.00020 (2019) - 2018
- [c1]Amanda Bower, Lalit Jain, Laura Balzano:
The Landscape of Non-Convex Quadratic Feasibility. ICASSP 2018: 3974-3978 - [i2]Amanda Bower, Laura Niss, Yuekai Sun, Alexander Vargo:
Debiasing representations by removing unwanted variation due to protected attributes. CoRR abs/1807.00461 (2018) - 2017
- [i1]Amanda Bower, Sarah N. Kitchen, Laura Niss, Martin J. Strauss, Alexander Vargas, Suresh Venkatasubramanian:
Fair Pipelines. CoRR abs/1707.00391 (2017) - 2015
- [j2]Amanda Bower, Rachel Insoft, Shiyu Li, Steven J. Miller, Philip Tosteson:
The distribution of gaps between summands in generalized Zeckendorf decompositions. J. Comb. Theory A 135: 130-160 (2015) - 2013
- [j1]Amanda Bower, Ron Evans, Victor Luo, Steven J. Miller:
Coordinate Sum and Difference Sets of d-Dimensional Modular Hyperbolas. Integers 13: A31 (2013)
Coauthor Index
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