Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes

9 May 2018Eduardo C. Garrido-MerchánDaniel Hernández-Lobato

Bayesian Optimization (BO) methods are useful for optimizing functions that are expen- sive to evaluate, lack an analytical expression and whose evaluations can be contaminated by noise. These methods rely on a probabilistic model of the objective function, typically a Gaussian process (GP), upon which an acquisition function is built... (read more)

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