Amanda Bower

University of Michigan

H-index: 8

North America-United States

About Amanda Bower

Amanda Bower, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of algorithmic fairness, machine learning, preference learning, rankings.

His recent articles reflect a diverse array of research interests and contributions to the field:

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics

Training individually fair machine learning algorithms via distributionally robust optimization

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems

De-biasing “bias” measurement

Individually Fair Ranking

Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning

Preference Modeling with Context-Dependent Salient Features

Amanda Bower Information

University	University of Michigan
Position	Applied and Interdisciplinary Math PhD Candidate
Citations(all)	312
Citations(since 2020)	283
Cited By	100
hIndex(all)	8
hIndex(since 2020)	8
i10Index(all)	8
i10Index(since 2020)	8
Email	Access Email
University Profile Page	University of Michigan
Google Scholar	View Google Scholar Profile

Amanda Bower Skills & Research Interests

algorithmic fairness

machine learning

preference learning

rankings

Top articles of Amanda Bower

Title	Journal	Author(s)	Publication Date
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics	Patterns	Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower Uthaipon Tantipongpipat ...	2022/8/12
Training individually fair machine learning algorithms via distributionally robust optimization			2022/10/6
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems	arXiv preprint arXiv:2209.05000	Amanda Bower Kristian Lum Tomo Lazovich Kyra Yee Luca Belli	2022/9/12
De-biasing “bias” measurement		Kristian Lum Yunfeng Zhang Amanda Bower	2022/6/21
Individually Fair Ranking	International Conference on Learning Representations (ICLR)	Amanda Bower Hamid Eftekhari Mikhail Yurochkin Yuekai Sun	2021/3/19
Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning		Amanda Ruth Bower	2020
Preference Modeling with Context-Dependent Salient Features		Amanda Bower Laura Balzano	2020/11/21