Call for papers

We invite researchers to submit work in any of the following areas:

Uncertainty in deep learning,

probabilistic deep models (such as extensions and application of Bayesian neural networks),

deep probabilistic models (such as hierarchical Bayesian models and their applications),

deep generative models (such as variational autoencoders),

practical approximate inference techniques in Bayesian deep learning,

connections between deep learning and Gaussian processes,

applications of Bayesian deep learning,

or any of the topics below.

A submission should take the form of an extended abstract (3 pages long) in PDF format using the NeurIPS 2019 style. Author names do not need to be anonymized, and conflicts of interest in assessing submitted contributions will be based on this (reviewers will not be involved in the assessment of a submission by authors within the same institution). References may extend as far as needed beyond the 3 page upper limit. Submissions may extend beyond the 3 pages upper limit, but reviewers are not expected to read beyond the first 3 pages. If the research has previously appeared in a journal, workshop, or conference (including the NeurIPS 2019 conference), the workshop submission should extend that previous work. Dual submissions to ICLR 2019, AAAI 2019, and AISTATS 2019 are permitted.

Submissions will be accepted as contributed talks or poster presentations. Extended abstracts should be submitted by September 9, 2019 Deadline has been extended to Friday, September 13, 2019 ; submission page is here. Final versions will be posted on the workshop website (and are archival but do not constitute a proceedings). Notification of acceptance will be made before October 1, 2019.

Key Dates:

Extended abstract submission deadline: September 9, 2019 (23:59 AOE) Deadline has been extended to Friday, September 13, 2019 (23:59 AOE) ( submission page is here )

( ) Acceptance notification: before October 1, 2019

Camera ready submission: December 1, 2019

Workshop: Friday, December 13, 2019