首页 > 技术文章 > [paper reading][AISTATS 2019] A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes

minor-second 2021-11-05 21:35 原文

3 Problem Statement

  • payoff function and auxiliary functions ("sim")
  • joint distr, multiple-output Gaussian process
  • reward: real, positive. sim, 0
  • policy, budget
  • objective: identify an optimal action

4 The Multi-fidelity BO Framework

  • 2 phases: explore and optimize
  • information gain
  • greedy, stopping conditions
  • optimize, update the posterior
  • choose the estimated optimum

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