Javier Gonzalez, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence
TL;DR本文介绍了一种名为 PBO 的新框架，它扩展了标准 BO 的思想，并通过模型化 Bernoulli - 高斯过程模型来建模每个决斗的赢家概率，从而允许在仅通过两两比较的方式来查询隐函数，并且相对于以往方法，该方法在寻找最大值过程中需要极少的比较。
Abstract
bayesian optimization (BO) has emerged during the last few years as an
effective approach to optimizing black-box functions where direct queries of
the objective are expensive. In this paper we consider the case where direct
access to the function is not possible, but information about