Recommendation Fairness: From Static to Dynamic

5 September 2021

Papers citing "Recommendation Fairness: From Static to Dynamic"

7 / 7 papers shown

Title
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 40 4 0 11 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 33 8 0 26 Mar 2024
Achievement and Fragility of Long-term Equitability Andrea Simonetto Ivano Notarnicola 16 1 0 24 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 35 13 0 20 May 2022
User Tampering in Reinforcement Learning Recommender Systems Charles Evans Atoosa Kasirzadeh OffRL AAML 92 39 0 09 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 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