计算视觉Personalizing Many Decisions with High-Dimensional Covariates

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Personalizing Many Decisions with High-Dimensional
          Covariates

           Nima Hamidi       Mohsen Bayati      Kapil Gupta

                        Abstract
      We consider the k-armed stochastic contextual bandit problem with d dimensional
      features, when both k and d can be large. To the best of our knowledge, all existing
      algorithms for this problem have a regret bound that scale as polynomials of degree
      at least two in k and d. The main contribution of this pa ...

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关键词：Dimensional covariates Decisions covariate dimension