Algorithmic Challenges in Ensuring Fairness at the Time of Decision

Algorithmic Challenges in Ensuring Fairness at the Time of Decision

16 March 2021

Papers citing "Algorithmic Challenges in Ensuring Fairness at the Time of Decision"

12 / 12 papers shown

Title
Fairness-aware Online Price Discrimination with Nonparametric Demand Models Xi Chen Jiameng Lyu Xuan Zhang Yuanshuo Zhou 35 7 0 16 Nov 2021
Multi-armed Bandit Requiring Monotone Arm Sequences Ningyuan Chen 111 11 0 07 Jun 2021
Fairness, Welfare, and Equity in Personalized Pricing Nathan Kallus Angela Zhou 37 40 0 21 Dec 2020
Introduction to Online Convex Optimization Elad Hazan OffRL 132 1,926 0 07 Sep 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 60 521 0 21 Jun 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 55 63 0 10 Dec 2018
Envy-Free Classification Maria-Florina Balcan Travis Dick Ritesh Noothigattu Ariel D. Procaccia FaML 54 40 0 23 Sep 2018
Calibrated Fairness in Bandits Yang Liu Goran Radanović Christos Dimitrakakis Debmalya Mandal David C. Parkes FedML FaML 42 89 0 06 Jul 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 163 1,206 0 26 Oct 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 242 1,216 0 16 Aug 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 55 474 0 23 May 2016
Stochastic convex optimization with bandit feedback Alekh Agarwal Dean Phillips Foster Daniel J. Hsu Sham Kakade Alexander Rakhlin 147 240 0 08 Jul 2011