Unprocessing Seven Years of Algorithmic Fairness

12 June 2023

Papers citing "Unprocessing Seven Years of Algorithmic Fairness"

13 / 13 papers shown

Title
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 97 27 0 03 Sep 2023
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 162 1,288 0 06 Jun 2021
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 64 384 0 14 Oct 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 145 479 0 18 Mar 2020
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 50 588 0 16 Jul 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 44 51 0 11 Jun 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 74 363 0 25 Nov 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 82 158 0 11 Sep 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 216 309 0 15 Jun 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,105 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 78 445 0 23 Feb 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 106 1,013 0 28 Nov 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016