FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee

13 March 2025

Papers citing "FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee"

8 / 8 papers shown

Title
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 57 0 0 10 Mar 2025
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 36 0 0 25 Feb 2024
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 18 0 0 23 Oct 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 53 17 0 08 Mar 2023
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 21 8 0 13 Oct 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 80 125 0 03 Oct 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 205 663 0 17 Feb 2018
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 165 94 0 25 Oct 2016