@@ -26,17 +26,17 @@ class TutorialHome extends React.Component {
2626 < div className = "post" >
2727 < header className = "postHeader" >
2828 < h1 className = "postHeaderTitle" >
29- Welcome to the BoTorch Tutorials
29+ BoTorch Tutorials
3030 </ h1 >
3131 </ header >
3232 < body >
3333 < p >
3434 The tutorials here will help you understand and use BoTorch in
3535 your own work. They assume that you are familiar with both
36- Bayesian optimization and PyTorch.
36+ Bayesian optimization (BO) and PyTorch.
3737 </ p >
3838 < p >
39- If you are new to Bayesian optimization , we recommend you start
39+ If you are new to BO , we recommend you start
4040 with the < a href = "https://ax.dev/docs/bayesopt" > Ax docs</ a > and
4141 the following{ ' ' }
4242 < a href = "https://arxiv.org/abs/1807.02811" > tutorial paper</ a > .
@@ -50,46 +50,46 @@ class TutorialHome extends React.Component {
5050 tutorial.
5151 </ p >
5252 < p >
53- The BoTorch tutorials are grouped into the following four areas:
53+ The BoTorch tutorials are grouped into the following four areas.
5454 </ p >
5555 < p >
5656 < h4 > Using BoTorch with Ax</ h4 >
5757 These tutorials give you an overview of how to leverage{ ' ' }
5858 < a href = "https://ax.dev" > Ax</ a > , a platform for sequential
59- experimentation, in order to simplify managing your Bayesian
60- Optimization (BO) loop. Doing so can help you focus on the main
61- BO components (Models, Acqusition functions, Optimization of
62- Acquisition functions), rather than tedious loop control. See
59+ experimentation, in order to simplify the management of your BO
60+ loop. Doing so can help you focus on the main
61+ aspects of BO (models, acquisition functions, optimization of
62+ acquisition functions), rather than tedious loop control. See
6363 our{ ' ' }
6464 < a href = "https://botorch.org/docs/botorch_and_ax" >
6565 Documentation
6666 </ a > { ' ' }
6767 for additional information.
6868 < h4 > Full Optimization Loops</ h4 >
69- In some situations (e.g. if you're working in a non-standard
70- setting, or simply if you want to be able to understand and
71- control every single aspect of your BO loop), then you may also
69+ In some situations (e.g. when working in a non-standard
70+ setting, or if you want to understand and
71+ control various details of the BO loop), then you may also
7272 consider working purely in BoTorch. The tutorials in this
73- section show you how to do that .
73+ section illustrate this approach .
7474 < h4 > Bite-Sized Tutorials</ h4 >
75- Rather than guiding you thorugh full end-to-end Bayesian
76- Optimization loops, the tutorials in this section focus on
75+ Rather than guiding you through full end-to-end BO loops,
76+ the tutorials in this section focus on
7777 specific tasks that you will encounter in customizing your BO
7878 algorithms. For instance, you may want to{ ' ' }
7979 < a href = "https://botorch.org/tutorials/custom_acquisition" >
8080 write a custom acquisition function
8181 </ a >
82- , and{ ' ' }
82+ { ' ' } and then { ' ' }
8383 < a href = "https://botorch.org/tutorials/optimize_with_cmaes" >
8484 use a custom zero-th order optimizer
8585 </ a > { ' ' }
86- for optimizing it.
86+ to optimize it.
8787 < h4 > Advanced Usage</ h4 >
8888 Tutorials in this section showcase more advanced ways of using
89- BoTorch. For instance, the { ' ' }
90- < a href = "https://botorch.org/tutorials/vae_mnist" > this</ a > { ' ' }
91- tutorial shows how to perform BO if your objective function is
92- an image, by optimizing in the latent space of a ariational
89+ BoTorch. For instance, { ' ' }
90+ < a href = "https://botorch.org/tutorials/vae_mnist" > this tutorial </ a > { ' ' }
91+ shows how to perform BO if your objective function is
92+ an image, by optimizing in the latent space of a variational
9393 auto-encoder (VAE).
9494 </ p >
9595 </ body >
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