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Results tagged with bayesian-optimization
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user 73437
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...
I am trying to find research papers addressing a problem that, in my opinion, deserves significant attention. However, I am having difficulty locating relevant information.
To illustrate the problem a …
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