COLT '96 Call for Papers
Michael J. Kearns
mkearns at research.att.com
Thu Aug 17 16:13:00 EDT 1995
______________________________________________________________________
PRELIMINARY CALL FOR PAPERS---COLT '96
Ninth Conference on Computational Learning Theory
Desenzano del Garda, Italy
June 28 -- July 1, 1996
______________________________________________________________________
The Ninth Conference on Computational Learning Theory (COLT '96) will
be held in the town of Desenzano del Garda, Italy, from Friday, June
28, through Monday, July 1, 1996. COLT '96 is sponsored by the
Universita` degli Studi di Milano. We invite papers in all areas
that relate directly to the analysis of learning algorithms and the
theory of machine learning, including neural networks, statistics,
statistical physics, Bayesian/MDL estimation, reinforcement learning,
inductive inference, knowledge discovery in databases, robotics, and
pattern recognition. We also encourage the submission of papers
describing experimental results that are supported by theoretical
analysis.
ABSTRACT SUBMISSION.
Authors should submit fifteen copies (preferably two-sided) of an
extended abstract to:
Michael Kearns --- COLT '96
AT&T Bell Laboratories, Room 2A-423
600 Mountain Avenue
Murray Hill, New Jersey 07974-0636
Telephone(for overnight mail): (908) 582-4017
Abstracts must be RECEIVED by FRIDAY JANUARY 12, 1996. This deadline
is firm. We also anticipate allowing electronic submissions. Details
of the electronic submission procedure will be provided in an updated
Call for Papers, and will be available from the web site
http://www.cs.cmu.edu/~avrim/colt96.html
which will also be used to provide other program-related information.
Authors will be notified of acceptance or rejection on or before
Friday, March 15, 1996. Final camera-ready papers will be due by
Friday, April 5. Papers that have appeared in journals or other
conferences, or that are being submitted to other conferences, are not
appropriate for submission to COLT. An exception to this policy is
that COLT and STOC have agreed that a paper can be submitted to both
conferences, with the understanding that a paper will be automatically
withdrawn from COLT if accepted to STOC.
ABSTRACT FORMAT.
The extended abstract should include a clear definition of the
theoretical model used and a clear description of the results, as well
as a discussion of their significance, including comparison to other
work. Proofs or proof sketches should be included. If the abstract
exceeds 10 pages, only the first 10 pages may be examined. A cover
letter specifying the contact author and his or her email address
should accompany the abstract.
PROGRAM FORMAT.
At the discretion of the program committee, the program may consist of
both long and short talks, corresponding to longer and shorter papers
in the proceedings. The short talks will also be coupled with a
poster presentation.
PROGRAM CHAIRS.
Avrim Blum (Carnegie Mellon University) and Michael Kearns (AT&T Bell
Laboratories).
CONFERENCE AND LOCAL ARRANGEMENTS CHAIRS.
Nicolo` Cesa-Bianchi (Universita` di Milano) and Giancarlo Mauri
(Universita` di Milano).
PROGRAM COMMITTEE.
Martin Anthony (London School of Economics),
Avrim Blum (Carnegie Mellon University),
Bill Gasarch (University of Maryland),
Lisa Hellerstein (Northwestern University),
Robert Holte (University of Ottawa),
Sanjay Jain (National University of Singapore),
Michael Kearns (AT&T Bell Laboratories),
Nick Littlestone (NEC Research Institute),
Yishay Mansour (Tel Aviv University),
Steve Omohundro (NEC Research Institute),
Manfred Opper (University of Wuerzburg),
Lenny Pitt (University of Illinois),
Dana Ron (Massachusetts Institute of Technology),
Rich Sutton (University of Massachusetts)
COLT, ML, AND EUROCOLT.
The Thirteenth International Conference on Machine Learning (ML '96)
will be held right after COLT '96, on July 3--7 in Bari, Italy. In
cooperation with COLT, the EuroCOLT conference will not be held in
1996.
STUDENT TRAVEL.
We anticipate some funds will be available to partially support travel
by student authors. Details will be distributed as they become
available.
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