Now showing items 1-4 of 4

    • Multi-objective contextual bandits with a dominant objective 

      Tekin, Cem; Turgay, Eralp (IEEE, 2017)
      In this paper, we propose a new contextual bandit problem with two objectives, where one of the objectives dominates the other objective. Unlike single-objective bandit problems in which the learner obtains a random scalar ...
    • Online Contextual Influence Maximization in social networks 

      Sarıtaç, Ömer; Karakurt, Altuğ; Tekin, Cem (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this paper, we propose the Online Contextual Influence Maximization Problem (OCIMP). In OCIMP, the learner faces a series of epochs in each of which a different influence campaign is run to promote a certain product in ...
    • Online contextual influence maximization with costly observations 

      Saritac, A. O.; Karakurt, A.; Tekin, C. (Institute of Electrical and Electronics Engineers, 2018)
      In the Online Contextual Influence Maximization Problem with Costly Observations, the learner faces a series of epochs in each of which a different influence spread process takes place over a network. At the beginning of ...
    • Online contextual influence maximization with costly observations 

      Sarıtaç, Anıl Ömer; Karakurt, Altuğ; Tekin, Cem (IEEE, 2019-06)
      In the online contextual influence maximization problem with costly observations, the learner faces a series of epochs in each of which a different influence spread process takes place over a network. At the beginning of ...