Rebounding Bandits for Modeling Satiation Effects

13 November 2020

Papers citing "Rebounding Bandits for Modeling Satiation Effects"

8 / 8 papers shown

Title
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 39 1 0 24 Sep 2024
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms Khashayar Khosravi R. Leme Chara Podimata Apostolis Tsorvantzis 31 0 0 21 Jul 2023
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits Liu Leqi Giulio Zhou Fatma Kilincc-Karzan Zachary Chase Lipton A. Montgomery 32 2 0 16 Apr 2023
Linear Bandits with Memory: from Rotting to Rising Giulia Clerici Pierre Laforgue Nicolò Cesa-Bianchi 38 3 0 16 Feb 2023
Learning with Exposure Constraints in Recommendation Systems Omer Ben-Porat Rotem Torkan 29 12 0 02 Feb 2023
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 84 34 0 25 May 2022
Modeling Attrition in Recommender Systems with Departing Bandits Omer Ben-Porat Lee Cohen Liu Leqi Zachary Chase Lipton Yishay Mansour 26 11 0 25 Mar 2022
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits Zhimei Ren Zhengyuan Zhou 37 31 0 27 Aug 2020