A Stochastic Optimization Framework for Fair Risk Minimization

24 February 2021

Papers citing "A Stochastic Optimization Framework for Fair Risk Minimization"

5 / 5 papers shown

Title
Primal Methods for Variational Inequality Problems with Functional Constraints Liang Zhang Niao He Michael Muehlebach 42 2 0 19 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 35 1 0 28 Feb 2024
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020
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