Li, ShuaiShuaiLiChen,WeiChenLi, ShuaiShuaiLiProf. LEUNG Kwong Sak2023-02-222023-02-222019IJCAI International Joint Conference on Artificial Intelligence 2019, pp. 2923-2929.http://hdl.handle.net/20.500.11861/7416We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structures to represent clusters. We prove a regret bound for the new algorithm which is free of the minimal frequency over users. The experiments on both synthetic and real datasets consistently show the advantage of the new algorithm over existing methods.enConference Paper10.24963/ijcai.2019/405