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

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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