Connectionists: Registration is open and 2nd CFP: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019)

Thang Bui thang.buivn at gmail.com
Fri Oct 11 02:51:55 EDT 2019


Dear all,

We have extended the submission deadline to Oct 15 11:59 PM GMT.

Best,
Thang

On Sat, Sep 28, 2019 at 09:34 Thang Bui <thang.buivn at gmail.com> wrote:

> We invite researchers in machine learning and statistics to participate in
> the:
>
> *2nd Symposium on Advances in Approximate Bayesian Inference *
> Sunday December 8, 2019,
> Pan Pacific Hotel
> 300 - 999 Canada Pl
> Vancouver, BC V6C 3B5, Canada
> www.approximateinference.org
>
> Submission deadline: *11 October, 2019*
>
> *1. Registration *
>
> Registration is now open:
>
> https://www.eventbrite.ca/e/2nd-symposium-on-advances-in-approximate-bayesian-inference-aabi-2019-tickets-73461460205
>
> Registration is free but will be limited. More slots may become available
> as we free up the reserved slots for authors of the accepted papers. If you
> are unable to register, feel free to sign up on the waiting list. We will
> contact you if more slots become available.
>
> *2. Call for Participation*
>
> 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 2-4 pages in PDF format
> using the PMLR one-column style [
> http://approximateinference.org/pmlr/aabi_template.zip ]. For questions
> and troubleshooting, visit CTAN [
> https://ctan.org/tex-archive/macros/latex/contrib/jmlr ]. The review
> process will be double-blind. Author names need to be anonymized and
> references may extend as far as needed beyond the 4-page upper limit. If
> authors' research has previously appeared in a journal, workshop, or
> conference (including the NeurIPS 2019 conference), their symposium
> submission should extend that previous work. Submissions may include a
> supplement/appendix, but reviewers are not responsible for reading any
> supplementary material.
>
> All submissions will be reviewed by at least three reviewers from the
> field. Accepted submissions will be accepted to presentation only. The
> authors of selected submissions will be invited to publish their paper in a
> PMLR volume. We aim to keep a general inclusive nature of the symposium for
> presentations. However, we will only invite the top-rated accepted papers
> to be published through PMLR.
>
> Papers should be submitted by 11 October through OpenReview at 23:59 GMT [
> https://openreview.net/group?id=approximateinference.org/AABI/2019
> /Symposium ]. Final versions of the symposium submissions are due by 5
> December, and will be posted on the symposium website.
>
> If you have any questions, please contact us at
> aabisymposium2019 at gmail.com.
>
>
> *3. Key Dates*
>
> Paper submission: 11 October 2019 (23:59 GMT)
> Acceptance notification: 8 November 2019
> Final paper submission: 5 December 2019
>
>
> *4. Symposium Overview*
>
> In recent years, there have been numerous advances in approximate
> inference methods, which have enabled Bayesian inference in increasingly
> challenging scenarios involving complex probabilistic models and large
> datasets. The 2nd Symposium on Advances in Approximate Bayesian Inference (
> AABI) will discuss this impact of Bayesian inference, connecting both
> variational and Monte Carlo methods with other fields. We encourage
> submissions that relate Bayesian inference to the fields of reinforcement
> learning, causal inference, decision processes, Bayesian compression, or
> differential privacy, among others. We also encourage submissions that
> contribute to connecting different approximate inference methods.
>
> This symposium is a continuation of past years events:
> + 1st Symposium on Advances in Approximate Bayesian Inference (2018)
> + NIPS 2017 Workshop: Advances in Approximate Bayesian Inference
> + NIPS 2016 Workshop: Advances in Approximate Bayesian Inference
> + NIPS 2015 Workshop: Advances in Approximate Bayesian Inference
> + NIPS 2014 Workshop: Advances in Variational Inference
>
>
> *5. Invited Speakers and Panelists*
>
> Invited speakers:
> Emily Fox (University of Washington)
> Michael Gutmann (University of Edinburgh)
> Sergey Levine (UC Berkeley)
> Qiang Liu (University of Texas at Austin)
> Christian Robert (Ceremade - Université Paris-Dauphine)
> Michalis Titsias (DeepMind)
> Rianne van den Berg (University of Amsterdam)
>
> Panel:
> Moderator: Frank Wood (University of British Columbia)
> Barbara Engelhardt (Princeton University)
> James Hensman (Prowler.io)
> Radford Neal (University of Toronto)
> Christian Robert (Ceremade - Université Paris-Dauphine)
> Sinead Williamson (University of Texas at Austin)
>
>
>
> Symposium organizers:
> Thang Bui (University of Sydney / Uber)
> Adji Dieng (Columbia University)
> Dawen Liang (Netflix)
> Francisco Ruiz (University of Cambridge / Columbia University)
> Cheng Zhang (Microsoft Research)
>
> Advisory committee:
> David Blei (Columbia University)
> Stephan Mandt (University of California, Irvine)
> James McInerney (Netflix)
> Dustin Tran (Google Brain / Columbia University)
>
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