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cs.LG2024
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Arpit Agarwal, Rad Niazadeh, Prathamesh Patil
In digital health and EdTech, recommendation systems face a significant challenge: users often choose impulsively, in ways that conflict with the platform's long-term payoffs. This…
cs.LG2022
A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
The stochastic -armed bandit problem has been studied extensively due to its applications in various domains ranging from online advertising to clinical trials. In practice howe…