Active Sampling for Min-Max Fairness

11 June 2020

Papers citing "Active Sampling for Min-Max Fairness"

6 / 6 papers shown

Title
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity Quan Nguyen Nishant A. Mehta Cristóbal Guzmán 34 0 0 01 Oct 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 30 0 0 28 Jun 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 34 1 0 29 Feb 2024
M $^2$ DQN: A Robust Method for Accelerating Deep Q-learning Network Zhe Zhang Yukun Zou Junjie Lai Qinglong Xu 13 4 0 16 Sep 2022
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 30 7 0 25 Oct 2021
Adaptive Sampling for Minimax Fair Classification S. Shekhar Greg Fields Mohammad Ghavamzadeh T. Javidi FaML 35 37 0 01 Mar 2021