Corpus ID: 211252543

Linear Bandits with Stochastic Delayed Feedback

@article{Vernade2018LinearBW,
  title={Linear Bandits with Stochastic Delayed Feedback},
  author={Claire Vernade and Alexandra Carpentier and Tor Lattimore and Giovanni Zappella and Beyza Ermis and M. Br{\"u}ckner},
  journal={arXiv: Machine Learning},
  year={2018}
}
  • Claire Vernade, Alexandra Carpentier, +3 authors M. Brückner
  • Published 2018
  • Mathematics, Computer Science
  • arXiv: Machine Learning
  • Stochastic linear bandits are a natural and well-studied model for structured exploration/exploitation problems and are widely used in applications such as online marketing and recommendation. One of the main challenges faced by practitioners hoping to apply existing algorithms is that usually the feedback is randomly delayed and delays are only partially observable. For example, while a purchase is usually observable some time after the display, the decision of not buying is never explicitly… CONTINUE READING

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