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Motivated by e-commerce, we study the online assortment optimization problem.
Conditional Logit Analysis of Qualitative Choice Behavior
Daniel McFadden · 1974
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Discrete Choice Analysis: Theory and Application to Travel Demand
Moshe Ben-Akiva and Steven Lerman · 1985
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Revenue management under a general discrete choice model of consumer behavior
Kalyan T. Talluri and Garrett J. van Ryzin · 2004
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On the choice-based linear programming model for network revenue management
Qian Liu and Garrett van Ryzin · 2008
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Learning diverse rankings with multi-armed bandits
Filip Radlinski, Robert Kleinberg, and Thorsten Joachims · 2008
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Dynamic assortment optimization with a multinomial logit choice model and capacity constraint
Paat Rusmevichientong, Zuo-Jun Max Shen, and David B. Shmoys · 2010
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Epsilon-first policies for budget-limited multi-armed bandits
Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, and Nicholas R. Jennings · 2010
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Improved algorithms for linear stochastic bandits
Yasin Abbasi-yadkori, Dávid Pál, and Csaba Szepesvári · 2011
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X-armed bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz, 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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Combinatorial network optimization with unknown variables: Multi-armed bandits with linear rewards and individual observations
Yi Gai, Bhaskar Krishnamachari, and Rahul Jain · 2012
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Knapsack based optimal policies for budget-limited multi-armed bandits
Long Tran-Thanh, Archie C. Chapman, Alex Rogers, and Nicholas R. Jennings · 2012
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Bandits with knapsacks
Ashwinkumar Badanidiyuru, Robert Kleinberg, and Aleksandrs Slivkins · 2013
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Combinatorial multi-armed bandit: General framework, results and applications
Wei Chen, Yajun Wang, and Yang Yuan · 2013
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Optimal dynamic assortment planning with demand learning
Denis Saure and Assaf Zeevi · 2013
Cascading bandits: Learning to rank in the cascade model
Branislav Kveton, Csaba Szepesvari, Zheng Wen, and Azin Ashkan · 2015
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Combinatorial cascading bandits
Branislav Kveton, Zheng Wen, Azin Ashkan, and Csaba Szepesvári · 2015
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Budgeted bandit problems with continuous random costs
Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, and Tao Qin · 2015
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Thompson sampling for budgeted multi-armed bandits
Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, and Tie-Yan Liu · 2015
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Linear contextual bandits with knapsacks
Shipra Agrawal and Nikhil R. Devanur · 2016
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A near-optimal exploration-exploitation approach for assortment selection
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, and Assaf Zeevi · 2016
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Bandits with concave rewards and convex knapsacks
Shipra Agrawal and Nikhil R Devanur · 2014
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Tight regret bounds for stochastic combinatorial semi-bandits
Branislav Kveton, Zheng Wen, Azin Ashkan, and Csaba Szepesvari · 2014
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Dynamic assortment customization with limited inventories
Fernando Bernstein, A. Gürhan Kök, and Lei Xie · 2015
Cited alongside, same era.
Assortment planning under the multinomial logit model with totally unimodular constraint structures
James Davis, Guillermo Gallego, and Huseyin Topaloglu
Cited in the paper.
Combinatorial multi-armed bandit with general reward functions
Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, and Pinyan Lu · 2016
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Budgeted multi-armed bandits with multiple plays
Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, and Tie-Yan Liu · 2016
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