Bayesian Optimization with Exponential Convergence

  title={Bayesian Optimization with Exponential Convergence},
  author={Kenji Kawaguchi and Leslie Pack Kaelbling and Tom{\'a}s Lozano-P{\'e}rez},
This paper presents a Bayesian optimization method with exponential convergencewithout the need of auxiliary optimization and without the δ-cover sampling. Most Bayesian optimization methods require auxiliary optimization: an additional non-convex global optimization problem, which can be time-consuming and hard to implement in practice. Also, the existing Bayesian optimization method with exponential convergence [ 1] requires access to the δ-cover sampling, which was considered to be… CONTINUE READING
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