Individually Fair Learning with One-Sided Feedback

9 June 2022

Papers citing "Individually Fair Learning with One-Sided Feedback"

11 / 11 papers shown

Title
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 72 85 0 02 Jan 2021
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 47 96 0 19 Jun 2020
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 67 101 0 02 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 57 120 0 28 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 73 97 0 01 Jun 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 57 63 0 10 Dec 2018
Fair Algorithms for Learning in Allocation Problems Hadi Elzayn S. Jabbari Christopher Jung Michael Kearns Seth Neel Aaron Roth Zachary Schutzman FaML 42 96 0 30 Aug 2018
Online Convex Optimization with Stochastic Constraints Hao Yu M. Neely Xiaohan Wei 65 223 0 12 Aug 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
An efficient algorithm for learning with semi-bandit feedback Gergely Neu Gábor Bartók 110 80 0 13 May 2013
The on-line shortest path problem under partial monitoring Pál Benkö T. Várady L. Andor Ralph Robert Martin 590 355 0 08 Apr 2007