Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7416
Title: | Improved Algorithm on Online Clustering of Bandits |
Authors: | Li, Shuai Chen,Wei Li, Shuai Prof. LEUNG Kwong Sak |
Issue Date: | 2019 |
Source: | IJCAI International Joint Conference on Artificial Intelligence 2019, pp. 2923-2929. |
Conference: | IJCAI International Joint Conference on Artificial Intelligence 2019-August |
Abstract: | We 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. |
Type: | Conference Paper |
URI: | http://hdl.handle.net/20.500.11861/7416 |
DOI: | 10.24963/ijcai.2019/405 |
Appears in Collections: | Applied Data Science - Publication |
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