2 votes

Why do we use Acquisition Functions?

In uncertain scenarios, where Bayesian optimization is employed, we are facing the exploration-exploitation tradeoff. The acquisition function is a solution for it. As you noticed, Bayesian ...
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2 votes

Gaussian Process for Classification

I am uncertain that this presented rationale holds strongly. I think it is mostly because that "assuming Gaussian noise (for the latent Gaussian process) and a step-function likelihood is exactly ...
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1 vote

Why do we use Acquisition Functions?

The purpose of Bayesian optimization is to find global minima of functions that have many local minima. More typical optimizers are "local," in the sense that they follow some procedure ...
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