UAI 2010 Second Call for Papers
Peter Grunwald
The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010)
July 8th - July 11th, 2010, Catalina Island, California, U.S.A. (near
Los Angeles)
SECOND CALL FOR PAPERS (DEADLINE MARCH 12TH)
IMPORTANT NOTICE - NEW FEATURE
UAI has traditionally mostly attracted submissions from computer
scientists, even though reasoning under uncertainty is an important
topic in many other areas such as, for example, statistics, economics
(game theory), information theory and philosophy. This year, we
especially encourage submissions from researchers working in such fields.
To accommodate the publishing traditions of these fields, authors
may instead submit working papers that are under review or nearly ready
for journal review. These submissions will be subject to review and
considered for presentation at the conference but not for publication in
the proceedings. These submissions need not conform to the conference
paper format. Abstracts (max. 1 page) of accepted working papers will be
included in the proceedings and must be coupled with a URL that points
to the full paper and that will be reliable for at least two years. Open
access is strongly preferred although the paper can be hosted by a
publisher who takes copyright and limits access, as long as there is a
link to the location.
GENERAL INFO
The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010)
will take place on July 8-11, 2010 on beautiful Catalina Island,
California (near Los Angeles). The tutorial day is on July 8th, and the
main conference is from July 9 to 11. We have an exciting program of
tutorials and invited speakers, see below.
We encourage submissions that report on theoretical or methodological
advances in modeling, inference, learning and decision making under
uncertainty. Submissions reporting on novel and insightful applications
of these techniques within intelligent systems are also strongly
encouraged. Examples of such application areas include, but are not
limited to, computational biology, computer vision, speech processing,
computational linguistics, information retrieval, medical systems,
multi-agent systems and sensor networks.
IMPORTANT DATES
� Friday, March 12, 2010 UAI paper submissions due (11.59pm, GMT)
� Monday, March 22, 2010 UAI student paper certification (11.59pm, GMT)
� Monday, April 26, 2010 Reviews available/author feedback period begins
� Wednesday, May 5, 2010 Author feedback on reviews due (11.59pm, GMT)
� Monday, May 31, 2010 UAI author notification
� Monday June 14, 2010 UAI camera ready copy of accepted papers due
(11.59pm, GMT)
� Monday June 21, 2010 Scholarship applications due
� Thursday June 24, 2010 Early registration deadline
� July 8, 2010 Tutorials
� July 9-11, 2010 UAI conference
NOTE: midnight GMT = 7pm EST = 4pm PST
PAPER SUBMISSION DETAILS
UAI 2010 requires electronic submission of papers and abstracts
according to instructions that will be posted before February 26th
at event.cwi.nl/uai2010.
A submitted paper should not be under review by any other conference or
scientific journal at the time it is submitted to UAI 2010 or at any
time during the reviewing period of UAI 2010. At the time of submission,
a paper should also not have already been accepted for publication in a
journal. We do coordinate with several other conferences to avoid that
essentially identical papers are sent to UAI and any of these other
conferences.
PRESENTATION, PROCEEDINGS, and AWARDS
Accepted papers will be presented at the conference in either plenary or
poster sessions. At least one of the paper's authors should be present
at the conference to present the work. All accepted papers will be
included in the Proceedings of the Twenty Sixth Conference on
Uncertainty in Artificial Intelligence. The program committee will
select papers for special distinction in two categories at UAI 2010: a
"Best Paper" award, and an "Outstanding Student Paper" award. The
conference home page will contain instructions for certifying student
status with regards to the latter award.
ORGANIZATION
General Conference Chair
Jeff Bilmes, University of Washington
Program Co-Chairs
Peter Gr�nwald, Centrum voor Wiskunde en Informatica and Leiden University
Peter Spirtes, Carnegie Mellon University
TUTORIALS (PRELIMINARY TITLES)
Learning and Reasoning With Incomplete Data: Foundations and Algorithms
Manfred Jaeger, Aalborg University
Non-Gaussian methods for learning linear structural equation models
Shohei Shimizu and Yoshinobu Kawahara, Osaka University
<title to be provided>
Sanjoy Dasgupta, UC San Diego
BANQUET SPEAKER
Computer vision and pattern recognition in the study of fine art:
Steps towards a new, computer-aided connoisseurship
David Stork
INVITED TALKS
Graphical Models for Structural Biology
Christopher Langmead, Carnegie Mellon University
Markovian (and conceivably causal) representations of stochastic processes
Cosma Shalizi, Sante Fe Institute and Carnegie Mellon University
Wisdom of Crowds and Rank Aggregation
Mark Steyvers, UC Irvine
Peter Grunwald
The 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) will take place on July 8-11, 2010 on beautiful Catalina Island, California (near Los Angeles).� See:
http://event.cwi.nl/uai2010
GENERAL INFO
- the tutorial day is on July 8th, and the main conference is from July 9 to 11.
- a list of accepted papers is now available at the website.
- apart from the plenary session and two poster sessions, we have an exciting program of tutorials and invited speakers, see below.
- the conference also hosts an evaluation of probabilistic inference methods. The deadline for taking part in this challenge is June 24th.
- registration is now possible via the above website. Please book soon: the early registration deadline is June 16th. If you register after June 24th, you cannot take part in the Conference Banquet.
ORGANIZATION
General Conference Chair
Jeff Bilmes, University of Washington
Program Co-Chairs
Peter Gr�nwald, Centrum voor Wiskunde en Informatica and Leiden University
Peter Spirtes, Carnegie Mellon University
TUTORIALS (PRELIMINARY TITLES)
Learning and Reasoning With Incomplete Data: Foundations and Algorithms
Manfred Jaeger, Aalborg University
Non-Gaussian methods for learning linear structural equation models
Shohei Shimizu and Yoshinobu Kawahara, Osaka University