Knowing The What But Not The Where in Bayesian Optimization

7 May 2019Vu NguyenMichael A. Osborne

Bayesian optimization has demonstrated impressive success in finding the optimum input x* and output f* = f(x*) = max f(x) of a black-box function f. In some applications, however, the optimum output f* is known in advance and the goal is to find the corresponding optimum input x*. In this paper, we consider a new setting in BO in which the knowledge of the optimum output f* is available... (read more)

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