One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions

31 August 2023

Papers citing "One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions"

10 / 10 papers shown

Title
Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models Konstantina Palla José Luis Redondo García C. Hauff Francesco Fabbri Henrik Lindström Daniel R. Taber Andreas Damianou M. Lalmas AILaw 67 0 0 25 Feb 2025
Robustness and Cybersecurity in the EU Artificial Intelligence Act Henrik Nolte Miriam Rateike Michèle Finck 38 1 0 22 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Alexander Rieck 89 1 0 04 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Prakhar Ganesh Usman Gohar Lu Cheng G. Farnadi FaML 42 2 0 17 Nov 2024
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification Mustafa Cavus Przemysław Biecek 27 7 0 22 Mar 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 31 0 0 14 Feb 2024
Fairness in Algorithmic Profiling: A German Case Study Christoph Kern Ruben L. Bach H. Mautner Frauke Kreuter 42 13 0 04 Aug 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019