A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

NeurIPS 2012 Pedro OrtegaJordi Grau-MoyaTim GeneweinDavid BalduzziDaniel Braun

We propose a novel Bayesian approach to solve stochastic optimization problems that involve finding extrema of noisy, nonlinear functions. Previous work has focused on representing possible functions explicitly, which leads to a two-step procedure of first, doing inference over the function space and second, finding the extrema of these functions... (read more)

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