[Artificial Intelligence and Statistics Logo] Artificial Intelligence and Statistics 2001


Extended submission deadline: midnight July 10, 2000 (PST)

Call for papers

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. 5-7). 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. 4). 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 10, 2000 (PST). 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.

    Due to the original extension of the submission deadline, and technical problems that have been encountered, acceptance decisions will now be announced in early October.

    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@stat.washington.edu
    Tommi Jaakkola, MIT, tommi@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
    Moises Goldszmidt, Peakstone Corporation
    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
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