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Results tagged with bayesian-optimization
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user 37607
For questions related to Bayesian optimization (BO), which is a technique used to model an unknown function (that is expensive to evaluate), based on concepts of a surrogate model (which is usually a Gaussian process, which models the unknown function), Bayesian inference (to update the Gaussian process) and an acquisition function (which guides the Bayesian inference). BO can be used for hyper-parameter optimization.
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In which community does using a Bayesian regression model as a reward function with explorat...
One community that has very recently been attacking problems of the type posed by your question is the Bayesian sequential optimal experimental design (Bayesian sOED) community. The Bayesian sOED sett …
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