AISTATS 2001: Call for papers

[Tommi Jaakkola]

(apologies for multiple posting)

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     AI and STATISTICS 2001

     Eighth International Workshop on 
     Artificial Intelligence and Statistics

     January 3-6, 2001, Hyatt Hotel, Key West, Florida

     http://www.ai.mit.edu/conferences/aistats2001/
 
This is the eighth in a series of workshops which have brought
together researchers in Artificial Intelligence (AI) and in Statistics
to discuss problems of mutual interest. The exchange has broadened
research in both fields and has strongly encouraged interdisciplinary
work. Papers on all aspects of the interface between AI & Statistics
are encouraged.

To encourage interaction and a broad exchange of ideas, the
presentations will be limited to about 20 discussion papers in single
session meetings over three days (Jan. 4-6). Focused poster sessions
will provide the means for presenting and discussing the remaining
research papers. Papers for poster sessions will be treated equally
with papers for presentation in publications.  Attendance at the
workshop will not be limited.

The three days of research presentations will be preceded by a day of
tutorials (Jan. 3). These are intended to expose researchers in each
field to the methodology and techniques used in other related areas. 

The Eighth workshop especially encourages submissions related to the
following workshop themes in the interface between information
retrieval and statistics:

 Statistical natural language processing
 Game theory
 Missing information; unlabeled examples
 Error correcting codes

In addition, papers on all aspects of the interface between AI &
Statistics are strongly encouraged, including but not limited to

  Automated data analysis 
  Cluster analysis and unsupervised learning
  Statistical advisory systems, experimental design 
  Integrated man-machine modeling methods
  Interpretability in modelling
  Knowledge discovery in databases
  Metadata and the design of statistical data bases
  Model uncertainty, multiple models
  Multivariate graphical models, belief networks, causal modeling
  Online analytic processing in statistics
  Pattern recognition 
  Prediction: classification and regression
  Probabilistic neural networks
  Probability and search
  Statistical strategy
  Vision, robotics, natural language processing, speech recognition 
  Visualization of very large datasets

Submission Requirements:
-----------------------

Electronic submission of abstracts is required. The abstracts (up to 4
pages in length) should be submitted through the AI and Statistics
Conference Management page supported by Microsoft Research. More
specific instructions will be made available at

  http://cmt.research.microsoft.com/AISTATS2001/

In special circumstances other arrangements can be made to facilitate
submission. For more information about possible arrangements, please
contact the conference chairs.

Submissions will be considered if they are received by midnight July
1, 2000.  Please indicate the theme and/or the topic(s) your abstract
addresses. Receipt of all submissions will be confirmed via electronic
mail. Acceptance notices will be emailed by September 1, 2000.

Preliminary papers (up to 12 pages, double column) must be received by
November 1, 2000. These preliminary papers will be copied and
distributed at the workshop.

Program Chairs:
--------------

 Thomas Richardson, University of Washington, tsr at stat.washington.edu
 Tommi Jaakkola, MIT, tommi at ai.mit.edu

Program Committee: 
-----------------

Russell Almond, Educational Testing Service, Princeton
Hagai Attias, Microsoft Research, Cambridge
Yoshua Bengio, University of Montreal
Max Chickering, Microsoft Research, Redmond
Greg Cooper, University of Pittsburgh
Robert Cowell, City University, London
Phil Dawid, University College, London
Vanessa Didelez, University of Munich
David Dowe, Monash University
Brendan Frey, University of Waterloo
Nir Friedman, Hebrew University, Jerusalem
Dan Geiger, Technion
Edward George, University of Texas
Paolo Giudici, University of Pavia
Zoubin Ghahramani, University College, London 
Clark Glymour, Carnegie-Mellon University 
David Heckerman, Microsoft Research, Redmond
Thomas Hofmann, Brown University
Reimar Hofmann, Siemens
Michael Jordan, University of California, Berkeley
David Madigan, Soliloquy
Chris Meek, Microsoft Research, Redmond
Marina Meila, Carnegie-Mellon University
Kevin Murphy, University of California, Berkeley
Mahesan Niranjan, University of Sheffield
John Platt, Microsoft Research, Redmond 
Greg Ridgeway, University of Washington
Lawrence Saul, AT&T Research
Prakash Shenoy, University of Kansas
Dale Schuurmans, University of Waterloo
Padhraic Smyth, University of California, Irvine
David Spiegelhalter, University of Cambridge
Peter Spirtes, Carnegie-Mellon University
Milan Studeny, Academy of Sciences, Czech Republic
Michael Tipping, Microsoft Research, Cambridge
Henry Tirri, University of Helsinki
Volker Tresp, Siemens 
Chris Watkins, Royal Holloway and Bedford New College, 
Nanny Wermuth, University of Mainz
Joe Whittaker, Lancaster University
Chris Williams, University of Edinburgh