ICML 2013 Call for Papers -- Cycle I Deadline Approaching

###################################################
                     ICML 2013 Call for Papers
###################################################

The 30th International Conference on Machine Learning (ICML
2013) will be held at the Atlanta Marriott Marquis, in Atlanta
Georgia, from June 16 to 21, 2013. The conference will consist
of one day of tutorials, followed by three days of main
conference sessions, followed by two days of workshops. All
topics related to machine learning are eligible for papers,
tutorials or workshops.

This year there will be three reviewing cycles for main
conference papers. This is an experimental step toward a
merger of conference and journal formats --- ICML may
ultimately have six two-month reviewing cycles per year.
Accepted papers will appear on-line shortly after acceptance
and will be available for citation at that time. As of now we are
still calling ICML a conference rather than a journal. A good
discussion of the issues of merging conference and journal
formats can be found in
http://www.vldb.org/pvldb/papers/p40-jagadish.pdf
by H. V. Jagadish.

Main Conference Paper Dates:

• Cycle I paper submissions due October 1, 2012
• Cycle I author response period November 1 – 7, 2012
• Cycle I author notification November 30, 2012
• Cycle I final version submission due January 7, 2013

• Cycle II paper submissions due December 15, 2012
• Cycle II author response period January 21 – 25, 2013
• Cycle II author notification Feb 15, 2013
• Cycle II final version submission due March 15, 2013

• Cycle III paper submissions due February 15, 2013
• Cycle III author response period March 15-22, 2013
• Cycle III author notification April 15, 2013
• Cycle III final version submission due May 8, 2013

Some fraction of papers declined in cycle I will be invited to
resubmit with modifications in cycle III. Papers declined in
cycle II will not be eligible for resubmission to ICML 2013.

Workshops and Tutorial Dates:

• Workshop and tutorial proposals due January 14, 2013
• Workshop and tutorial selection notification March 1, 2013
• Workshop paper submissions due March 1, 2013
• Workshop author notification March 31, 2013

Workshops: Early contact with the General Chair
                   (Michael Littman (mlittman@cs.brown.edu))
                   is highly encouraged
Tutorials: Early contact with the Tutorial Chair
              (Peter Stone (pstone@us.utexas.edu))
    is highly encouraged

Orals, Spotlights, Invited Speakers and a Banquet

Accepted papers will each have either a full oral presentation
or a shorter “spotlight” presentation as well as a poster in an
evening poster session. There will also be talks by invited
speakers, an opening reception, and a banquet.

Paper Format and Electronic Submission

The submission of papers and the management of the paper
reviewing process for the main conference will be entirely
electronic. Submissions for a given reviewing cycle will be
accepted until 23:59 Universal Time (3:59pm Pacific Daylight
Time) on the date of the deadline. Detailed formatting and
submission instructions for authors will be available on the
conference web site.

Dual Submission Policy

Submitted papers must not be substantially similar to (50% or
more overlap) another paper currently under review, or
accepted for publication, in a journal, conference or workshop
with archival proceedings (where proceedings are assigned an
ISBN number). Similarly, authors must withdraw their papers if
they submit an overlapping paper to a different archival venue
during the ICML review period. If a paper submitted to ICML
2013 is found to significantly overlap another published or
submitted paper at another archival venue then the ICML
submission may be rejected on the grounds of being a dual
submission.

To keep things simple in this experimental year, the “not for
proceedings” option of ICML 2012 will not be available in 2013.

Reviewing Criteria

Accepted papers must contain significant novel results. Results
can be either theoretical or empirical. Results will be judged on
the degree to which they have been objectively established
and/or their potential for scientific and technological impact.