Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks

@article{Manwani2022DelaytronEL,
  title={Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks},
  author={Naresh Manwani and Mudit Agarwal},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.08234}
}
—In this paper, we present online algorithm called Delaytron for learning multi class classifiers using delayed bandit feedbacks. The sequence of feedback delays { d t } Tt =1 is unknown to the algorithm. At the t -th round, the algorithm observes an example x t and predicts a label ˜ y t and receives the bandit feedback I [˜ y t = y t ] only d t rounds later. When t + d t > T , we consider that the feedback for the t -th round is missing. We show that the proposed algorithm achieves regret of O… 

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