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Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization.

Hung Tran-TheSunil GuptaSantu RanaSvetha Venkatesh
Published in: CoRR (2022)
Keyphrases
  • gaussian process
  • regret bounds
  • multi armed bandit
  • bayesian framework
  • learning algorithm
  • latent variables
  • lower bound
  • semi supervised
  • maximum likelihood
  • model selection
  • statistical models
  • bregman divergences