FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret

3 April 2020

Papers citing "FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret"

6 / 6 papers shown

Title
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 25 1 0 01 Mar 2023
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 83 36 0 08 Nov 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis Zihang Meng Rudrasis Chakraborty Vikas Singh 9 9 0 08 Jun 2021
Learning Invariant Representations using Inverse Contrastive Loss A. K. Akash Vishnu Suresh Lokhande Sathya Ravi Vikas Singh SSL 21 8 0 16 Feb 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016