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Update paper.md; fix capitalization of section titles
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jungtaekkim committed Sep 9, 2023
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![Visualization of Bayesian optimization procedure. Given an objective function, \autoref{eqn:simple} (colored by turquoise) and four initial points (denoted as light blue $\texttt{+}$ at iteration 1), a query point (denoted as pink $\texttt{x}$) is determined by constructing a surrogate model (colored by orange) and maximizing an acquisition function (colored by light green) every iteration.\label{fig:bo_steps}](figures/bo_step_global_local_ei.png)

# Bayesian Optimization
# Bayesian optimization

As discussed in the
work [@BrochuE2010arxiv; @ShahriariB2016procieee; @GarnettR2023book],
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- a run with initial inputs provided;
- a run with initial inputs provided and their evaluations.

# Software Development for BayesO
# Software development for BayesO

To manage BayesO productively, we actively utilize external development
management packages.
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