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.bu...@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 > aabisymposium2...@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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