Seth Neel

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Michael Kearns, Seth Neel, Aaron Roth et al. · arXiv (Cornell University) · 2017 · 303 citations · Full text

Engineering, Machine Learning, Discrimination +17

A Convex Framework for Fair Regression

Richard A. Berk, Hoda Heidari, Shahin Jabbari et al. · arXiv (Cornell University) · 2017 · 191 citations · Full text

Engineering, Machine Learning, Fair Regression +16

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Michael Kearns, Seth Neel, Aaron Roth et al. · International Conference on Machine Learning · 2017 · 123 citations

Best Fair Classifier, Machine Learning, Engineering +18

Fair Algorithms for Learning in Allocation Problems

Hadi Elzayn, Shahin Jabbari, Christopher Jung et al. · 2019 · 65 citations

Engineering, Game Theory, Discrimination +18

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi · arXiv (Cornell University) · 2020 · 54 citations · Full text

Convex Models, Engineering, Machine Learning +13