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Stochastic linear contextual bandit algorithms have substantial applications in practice, such as recommender systems, online advertising, clinical trials, etc.
A one-armed bandit problem with a concomitant variable
Michael Woodroofe · 1979
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The nonstochastic multiarmed bandit problem
Peter Auer, Nicolo Cesa-Bianchi, Yoav Freund, and Robert E Schapire · 2002
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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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Improved algorithms for linear stochastic bandits
Yasin Abbasi-Yadkori, Dávid Pál, and Csaba Szepesvári · 2011
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Scalable coordinate descent approaches to parallel matrix factorization for recommender systems
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit S. Dhillon · 2012
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Thompson sampling for contextual bandits with linear payoffs
Shipra Agrawal and Navin Goyal · 2013
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Parallel matrix factorization for recommender systems
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit S Dhillon · 2014
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Customer acquisition via display advertising using multi-armed bandit experiments
Eric M Schwartz, Eric T Bradlow, and Peter S Fader · 2017
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Adversarial attacks on stochastic bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma, and Jerry Zhu · 2018
Cited alongside, same era.
Stochastic bandits robust to adversarial corruptions
Thodoris Lykouris, Vahab Mirrokni, and Renato Paes Leme · 2018
Cited alongside, same era.
Data poisoning attacks in contextual bandits
Yuzhe Ma, Kwang-Sung Jun, Lihong Li, and Xiaojin Zhu · 2018
Cited alongside, same era.
Learning to optimize under non-stationarity
Wang Chi Cheung, David Simchi-Levi, and Ruihao Zhu · 2019
Cited alongside, same era.
Better algorithms for stochastic bandits with adversarial corruptions
Anupam Gupta, Tomer Koren, and Kunal Talwar · 2019
Cited alongside, same era.
Corruption-tolerant bandit learning
Sayash Kapoor, Kumar Kshitij Patel, and Purushottam Kar · 2019
Cited alongside, same era.
Corruption-tolerant gaussian process bandit optimization
Ilija Bogunovic, Andreas Krause, and Jonathan Scarlett · 2020
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Adversarial attacks on linear contextual bandits
Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, and Matteo Pirotta · 2020
Later among the works it cites.
Stochastic linear contextual bandits with diverse contexts
Weiqiang Wu, Jing Yang, and Cong Shen · 2020
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Stochastic linear bandits robust to adversarial attacks
Ilija Bogunovic, Arpan Losalka, Andreas Krause, and Jonathan Scarlett · 2021
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An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling
Qin Ding, Cho-Jui Hsieh, and James Sharpnack · 2021
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Yingkai Li, Edmund Y Lou, and Liren Shan · 2019
Cited alongside, same era.
Data poisoning attacks on stochastic bandits
Fang Liu and Ness Shroff · 2019
Cited alongside, same era.
Jianyi Yang and Shaolei Ren · 2021
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Linear contextual bandits with adversarial corruptions
Heyang Zhao, Dongruo Zhou, and Quanquan Gu · 2021
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