faq.md

title
Frequently asked questions

Are there specific packages I should use?

This is a BYOP ("bring-your-own-package") event 😉. We have some recommendations for newcomers, but we hope to see a diverse set of solutions applied to the benchmark tasks. Likewise, multiple teams using the same package is not a problem, since solutions can remain private during the course of the hackathon.

Does it have to be Bayesian optimization, or are other algorithms allowed?

There is certainly a focus on Bayesian optimization, but you are welcome to use other algorithms. It would be best if there's at least some kind of adaptive design component to it.

Is the hackathon a competition?

Each submission will be reviewed by a team of judges and evaluated based on the Rather than collaborating on a single problem together, you will work either solo or in small teams to accomplish one of three tasks: applying a Bayesian optimization algorithm to one of the provided benchmark tasks, designing a new optimization benchmark, or creating concept-focused instructional tutorials.