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Background
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The notion of algorithmic complexity was suggested independently by
Kolmogorov, Chaitin, and Solomonoff in the 1960's. Both Kolmogorov and
Chaitin introduced the concept as a way to formalize notions of
entropy and randomness, building on results from theoretical computer
science dealing with partial recursive functions. Independently,
Solomonoff defined algorithmic complexity in the pursuit of universal
priors for statistical inference. In recent years, Rissanen expanded
the applicability of these ideas, employing well-established concepts
from information theory to frame his principle of Minimum Description
Length (MDL) for statistical inference and model selection.
Each of these lines of research has developed methods for describing
data (through coding and compression, or by analogy with some formal
computing device); and each of these lines has employed some concept
of an efficient representation to guide statistical inference. In
this workshop, we will explore both the foundational aspects of
complexity-based inference as well as applications of these ideas to
challenging modeling problems. Participants will be drawn from the
fields of statistics, information and coding theory, machine learning,
and complexity theory. Application areas include biology, information
technologies, physics and psychology.
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Topics
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Kolmogorov complexity and inference
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MDL (MML)
theory and applications
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Lossy compression and complexity theory
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Complexity and Bayesian methods
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Individual sequence/on-line
prediction and predictive complexity
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Compression methods for clustering
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Machine learning and
computational complexity
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Complexity and cognitive science
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Applications
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Center for Discrete Mathematics &
Theoretical Computer Science
Complexity and Inference
June 2-5, 2003
DIMACS Center Rutgers University
Piscataway, NJ
Organizers:
Mark Hansen, Paul Vitanyi, Bin Yu
Preliminary Program:
[ Schedule | Contributed Abstracts ]
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Confirmed Participants
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Jont Allen, Andrew Barron,
William Bialek,
Nick Chater, Philip Dawid, Alexandros Eleftheriadis, Lance Fortnow,
Dean Foster,
Peter Gacs, Andrew Gelman, Peter Grunwald, Peter van der Helm,
Ron Meir, Jorma Rissanen, Serap Savari, Ray Solomonoff,
Florin Vaida,
Vladimir Vovk,
Marcelo Weinberger, Abraham Wyner
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