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2011.06741
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Rebounding Bandits for Modeling Satiation Effects
Neural Information Processing Systems (NeurIPS), 2020
13 November 2020
Liu Leqi
Fatma Kılınç Karzan
Zachary Chase Lipton
A. Montgomery
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Papers citing
"Rebounding Bandits for Modeling Satiation Effects"
11 / 11 papers shown
Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
Kailash Gopal Darmasubramanian
Akash Pareek
Arindam Khan
Arpit Agarwal
138
0
0
24 Sep 2025
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
ACM Conference on Economics and Computation (EC), 2023
Khashayar Khosravi
R. Leme
Chara Podimata
Apostolis Tsorvantzis
570
1
0
21 Jul 2023
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits
International Conference on Human Factors in Computing Systems (CHI), 2023
Liu Leqi
Giulio Zhou
Fatma Kilincc-Karzan
Zachary Chase Lipton
A. Montgomery
300
5
0
16 Apr 2023
Online Recommendations for Agents with Discounted Adaptive Preferences
International Conference on Algorithmic Learning Theory (ALT), 2023
Arpit Agarwal
William Brown
369
6
0
12 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
International Conference on Machine Learning (ICML), 2022
Eden Saig
Nir Rosenfeld
204
6
0
24 Nov 2022
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
Neural Information Processing Systems (NeurIPS), 2022
Orestis Papadigenopoulos
Constantine Caramanis
Sanjay Shakkottai
198
5
0
29 May 2022
Preference Dynamics Under Personalized Recommendations
ACM Conference on Economics and Computation (EC), 2022
Sarah Dean
Jamie Morgenstern
257
50
0
25 May 2022
Modeling Attrition in Recommender Systems with Departing Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2022
Omer Ben-Porat
Lee Cohen
Liu Leqi
Zachary Chase Lipton
Yishay Mansour
255
14
0
25 Mar 2022
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Pierre Laforgue
Giulia Clerici
Nicolò Cesa-Bianchi
Ran Gilad-Bachrach
380
9
0
22 Oct 2021
Combinatorial Blocking Bandits with Stochastic Delays
International Conference on Machine Learning (ICML), 2021
Alexia Atsidakou
Orestis Papadigenopoulos
Soumya Basu
Constantine Caramanis
Sanjay Shakkottai
263
10
0
22 May 2021
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Management Sciences (MS), 2020
Zhimei Ren
Zhengyuan Zhou
493
38
0
27 Aug 2020
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