Connectionists: UAI 2012 Call For Papers

[Kevin Murphy]

UAI (the Conference on Uncertainty in Artificial Intelligence) is the
premier conference on issues relating to representation,
inference, learning and decision making in the presence of uncertainty.
It also publishes papers on deep learning, which includes various forms of
neural networks, as well as papers related to human inference and learning.

The 28th UAI conference will be located in Catalina Island (near Los
Angeles), United States, on August 15-17, 2012. On August 14, before
the main conference, there will be tutorials. On August 18, after the
main conference, there will be workshops.

We are currently soliciting papers which describe novel methodology,
or non-trivial applications of existing methodology, related to
modeling, inference, learning and decision making under
uncertainty. The best way to get a sense for what kinds of papers are
appropriate is to look at past UAIs (available online here:
  http://uai.sis.pitt.edu/home.jsp?mmnu=0&smnu=0).
Authors of papers
that win best paper awards will be invited to submit their papers to
the Artificial Intelligence Journal, with special "fast track" status.

Papers are due on 30 March, 2011.  The reviewing process is
double-blind.  Authors will be notified of acceptance on June 1st.
For detailed formatting instructions, please refer to

  http://auai.org/uai2012/cfp.shtml

All accepted papers will be presented at the Conference either as
contributed talks or as posters, and will be published in the
Conference Proceedings (although authors may choose to designate their
paper as "not for publication" if they wish to avoid conflicts with
future journal publications).  We hope that this mechanism will
encourage authors from fields outside of computer science to submit
relevant work to UAI.

Papers that have already been published in a refereed venue, including
conferences and journals, may not be submitted. Papers that are
currently under review may be submitted, but only if you choose the
"not for publication" option. Submissions should be significant
extensions of prior published work. Papers that are deemed too similar
to past work will be rejected on grounds of lack of sufficient
novelty.

Programme Chairs:
Nando de Freitas, University of British Columbia
Kevin Murphy, University of British Columbia / Google Research

General Chair: Fabio Cozman, Universidade de Sao Paulo

Local Arrangements Chair: David Heckerman, Microsoft Research

Senior Program Committee: TBD