Virtual Event, January-February, 2021
We invite researchers in machine learning and statistics to participate in the 3rd Symposium on Advances in Approximate Bayesian Inference.
This year AABI will be a virtual event consisting of six weekly online seminars held in
November through December (new date!) January through February, 2021. The seminars will cover invited talks as well as contributed talks.
We invite researchers to submit their recent work on the development, analysis, or application of approximate Bayesian inference. A submission should take the form of an extended abstract of 3-6 pages in PDF format using the PMLR one-column style (template). For questions and troubleshooting, visit CTAN.
The review process will be double-blind. Author names need to be anonymized and references may extend as far as needed beyond the 6-page upper limit. Submissions may include a supplement/appendix, but reviewers are not responsible for reading any supplementary material.
All accepted submissions will be accompanied with a presentation. Presentations will take the form of online video summaries, and papers will be made available on the symposium website. The authors of selected submissions will be invited to present their work in a contributed talk during one of the online seminars and/or to publish their paper in a PMLR volume.
Dual submission policy: If a paper has previously appeared in a journal, workshop, or conference (including the NeurIPS 2020 conference), it should be extended in order to be accepted at AABI. If a paper is currently under review (e.g. in AISTATS 2021 or ICLR 2021), it can still be submitted to AABI. Selected submissions accepted at AABI will be invited for archival publication through our PMLR proceedings. Note this option is not available to papers published at other journal or conference venues.
We will use OpenReview for submission and review. Camera-ready versions are due by 06 January 2021, and will be posted on the symposium website.
Questions? Contact us at firstname.lastname@example.org.