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Patrick Rinke

2 accepted papers

2024

Learning relevant contextual variables within Bayesian optimization

UAI 2024poster

Contextual Bayesian Optimization (CBO) efficiently optimizes black-box functions with respect to design variables, while simultaneously integrating _contextual_ information regarding the environment, such as experimental conditions. However, the relevance of contextual variables is not necessarily k…

2020

Projective Preferential Bayesian Optimization

ICML 2020poster

Bayesian optimization is an effective method for finding extrema of a black-box function. We propose a new type of Bayesian optimization for learning user preferences in high-dimensional spaces. The central assumption is that the underlying objective function cannot be evaluated directly, but instea…