To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier

31 May 2022

Papers citing "To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier"

9 / 9 papers shown

Title
On the Robustness Tradeoff in Fine-Tuning Kunyang Li Jean-Charles Noirot Ferrand Ryan Sheatsley Blaine Hoak Yohan Beugin Eric Pauley Patrick D. McDaniel 55 0 0 19 Mar 2025
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 58 0 0 14 Mar 2025
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 28 1 0 12 Apr 2024
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting Camille Olivia Little Genevera I. Allen 16 0 0 01 Apr 2024
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 16 1 0 06 Oct 2023
Data Augmentation via Subgroup Mixup for Improving Fairness Madeline Navarro Camille Olivia Little Genevera I. Allen Santiago Segarra 19 6 0 13 Sep 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 13 8 0 17 Jul 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 15 1 0 07 Feb 2023
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 18 19 0 05 Oct 2021