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We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies.
Probability inequalities for sums of bounded random variables
Wassily Hoeffding · 1963
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Some methods for classification and analysis of multivariate observations
James MacQueen · 1967
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Associative reinforcement learning using linear probabilistic concepts
Naoki Abe and Philip M Long · 1999
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Amazon. com recommendations: Item-to-item collaborative filtering
Greg Linden, Brent Smith, and Jeremy York · 2003
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Stochastic linear optimization under bandit feedback
Varsha Dani, Thomas P Hayes, and Sham M Kakade · 2008
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A contextual-bandit approach to personalized news article recommendation
Lihong Li, Wei Chu, John Langford, and Robert E Schapire · 2010
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Linearly parameterized bandits
Paat Rusmevichientong and John N Tsitsiklis · 2010
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Improved algorithms for linear stochastic bandits
Yasin Abbasi-Yadkori, Dávid Pál, and Csaba Szepesvári · 2011
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Contextual bandits with linear payoff functions
Wei Chu, Lihong Li, Lev Reyzin, and Robert E Schapire · 2011
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Regret analysis of stochastic and nonstochastic multi-armed bandit problems
Sébastien Bubeck, Nicolo Cesa-Bianchi, et al · 2012
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Online clustering of bandits
Claudio Gentile, Shuai Li, and Giovanni Zappella · 2014
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Dynamic clustering of contextual multi-armed bandits
Trong T Nguyen and Hady W Lauw · 2014
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Cluster-extent based thresholding in fmri analyses: pitfalls and recommendations
Choong-Wan Woo, Anjali Krishnan, and Tor D Wager · 2014
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Recommender Systems
Charu Aggarwal · 2016
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The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan · 2016
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Distributed clustering of linear bandits in peer to peer networks
Nathan Korda, Balazs Szorenyi, and Shuai Li · 2016
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Bernoulli rank-1 bandits for click feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, and Zheng Wen · 2017
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Stochastic rank-1 bandits
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari, Claire Vernade, and Zheng Wen · 2017
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Branislav Kveton, Csaba Szepesvari, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, and S Muthukrishnan · 2017
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Learning to interact with users: A collaborative-bandit approach
Konstantina Christakopoulou and Arindam Banerjee · 2018
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Overlapping clustering of contextual bandits with nmf techniques
Jin Kyoung Kwon · 2018
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Bandit Algorithms
Tor Lattimore and Csaba Szepesvári · 2018
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Shuai Li, Alexandros Karatzoglou, and Claudio Gentile · 2016
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Contextual combinatorial cascading bandits
Shuai Li, Baoxiang Wang, Shengyu Zhang, and Wei Chen · 2016
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The art of clustering bandits
Shuai Li · 2016
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On context-dependent clustering of bandits
Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, and Evans Etrue · 2017
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Online clustering of contextual cascading bandits
Shuai Li and Shengyu Zhang · 2018
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Multi-objective contextual bandit problem with similarity information
Eralp Turgay, Doruk Oner, and Cem Tekin · 2018
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Online clustering of contextual cascading bandits
Shuai Li · 2019
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