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Unimodal Thompson Sampling for Graph-Structured Arms., , , and . AAAI, page 2457-2463. AAAI Press, (2017)Risk-averse trees for learning from logged bandit feedback., , , , and . IJCNN, page 976-983. IEEE, (2017)Machine Learning Techniques for Stackelberg Security Games: a Survey., and . CoRR, (2016)Budgeted Multi-Armed Bandit in Continuous Action Space., , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 560-568. IOS Press, (2016)Driving Exploration by Maximum Distribution in Gaussian Process Bandits., , , , and . AAMAS, page 948-956. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Adaptive and Flexible Smartphone Power Modeling., , , , , , and . Mob. Networks Appl., 18 (5): 600-609 (2013)Truthful learning mechanisms for multi-slot sponsored search auctions with externalities., , , and . Artif. Intell., (2015)A truthful learning mechanism for multi-slot sponsored search auctions with externalities., , and . AAMAS, page 1325-1326. IFAAMAS, (2012)A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns., , , and . AAAI, page 2379-2386. AAAI Press, (2018)A truthful learning mechanism for contextual multi-slot sponsored search auctions with externalities., , and . EC, page 605-622. ACM, (2012)