The NIPS Workshop on Bayesian Optimization is calling for contributions on theoretical models, empirical studies, and applications of Bayesian optimization. We also welcome challenge papers on possible applications or datasets. Topics of interest (though not exhaustive) include:
See also the workshop overview for more details.
Papers must be in the latest NIPS format, but with a maximum of 4 pages
(excluding references). Papers can be either anonymized or not (i.e. you can
decide whether to uncomment or add
\nipsfinalcopy to your document prior to
submitting). The reviewing process will be anonymous (i.e., blind).
Accepted papers and eventual supplementary material will also be made available on the workshop website.
The camera-ready papers have to include the
However, this does not constitute an archival publication and no formal workshop
proceedings will be made available, meaning contributors are free to publish
their work in archival journals or conference.
Submissions can be made through
Presenters of accepted posters will have access to a reserved pool of NIPS tickets which includes full conference registration.
Selected posters will also be eligible for free workshop registration.