Modular mechanisms for Bayesian optimization
NIPS workshop on Bayesian optimization, pp. 1-5, 2014.
The design of methods for Bayesian optimization involves a great number of choices that are often implicit in the overall algorithm design. In this work we argue for a modular approach to Bayesian optimization and present a Python implementation, pybo, that allows us to easily vary these choices. In particular this includes selection of t...More
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