Workshop on Learning Theoretic and Bayesian Inductive Principles

[ltbip@gatsby.ucl.ac.uk]

			Call for Participation

			EU PASCAL Workshop on

	 Learning Theoretic and Bayesian Inductive Principles

			   19-21 July 2004
			     Gatsby Unit
		    University College London, UK

	      http://www.gatsby.ucl.ac.uk/~zoubin/LTBIP

The theoretical analysis of systems that learn from data has been an
important topic of study in statistics, machine learning, and
information theory. Formal tools for this analysis have been developed
from distinct inductive paradigms, such as Bayesian inference,
statistical learning theory, and minimum description length. In recent
years, there has been a convergence of ideas from these distinct
paradigms, an example of which are PAC-Bayesian bounds on
generalisation performance. The goal of this workshop is to bring
together leading theoreticians to allow them to debate, compare and
cross-fertilise ideas from these distinct inductive principles.

The format of the workshop will be 90 minute talks from invited
speakers, short talks from contributed speakers, and ample discussion
time.

We invite original contributions to the workshop that will undergo a
short refereeing process. Please describe the work in 1-4 pages
specifying the model that you adopt and outlining the
results/contribution. We encourage blue-skies ideas but they
should be sufficiently concrete to be clear and understandable.
The deadline for contributions is 31 May 2004.

IMPORTANT DATES:

Deadline for Contributions:	31 May 2004
Notification of Acceptance:	14 Jun 2004
Registration Deadline(*):	28 Jun 2004
Workshop Dates:		     19-21 Jul 2004

INVITED SPEAKERS:

Peter Bartlett, University of California at Berkeley, USA
Olivier Catoni, Universite Paris 6, France
A Philip Dawid, University College London, UK
Claudio Gentile, Universita dell'Insubria, Italy
Gabor Lugosi, Pompeu Fabra University, Spain
John Langford, Toyota Technological Institute, USA
David MacKay, University of Cambridge, UK
Paul Vitanyi, CWI, Netherlands

ORGANISERS:

Zoubin Ghahramani, University College London, UK
John Shawe-Taylor, University of Southampton, UK

PROGRAMME COMMITTEE:

Zoubin Ghahramani, University College London, UK
Peter Grnwald, CWI, Netherlands
John Langford, Toyota Technological Institute, USA
Gabor Lugosi, Pompeu Fabra University, Spain
Shahar Mendelson, Australian National University, Australia  
John Shawe-Taylor, University of Southampton, UK

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PASCAL (Pattern Analysis, Statistical Modelling and Computational
Learning, http:///www.pascal-network.org) is a newly launched
(December 2003) European Network of Excellence (NoE) as part of its
IST program. The NoE brings together experts from basic research areas
such as Statistics, Optimisation and Computational Learning and from a
number of application areas, with the objective of integrating
research agendas and improving the state of the art in all concerned
fields with emphasis on applications in multi-modal interfaces.