Software Engineering for Fairness: A Case Study with Hyperparameter
Optimization

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization

14 May 2019

Joymallya Chakraborty

Papers citing "Software Engineering for Fairness: A Case Study with Hyperparameter Optimization"

10 / 10 papers shown

Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 32 0 0 23 Apr 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 29 1 0 29 Apr 2024
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Matthias Feurer Katharina Eggensperger Eddie Bergman Florian Pfisterer B. Bischl Frank Hutter 51 5 0 08 Dec 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 11 5 0 03 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 22 26 0 25 Oct 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 18 110 0 02 Jun 2021
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017