NIPS 2004 – Program Highlights
Tutorials – Monday, December 13, 2004:
Tutorial Presentors
William Bialek, Princeton University
Optimization Principles in Neural Coding and Computation
Shahar Mendelson, Australian National University
A Geometric Approach to Statistical Learning Theory
Radford Neal, University of Toronto
Bayesian Methods for Machine Learning
David Parkes, Harvard University
Computational Mechanism Design and Auctions
Richard Szeliski, Microsoft Research
Acquiring Detailed 3D Models from Images and Video
Daniel Wolpert, University College London
Probabilistic Computations in Human Sensoriomotor Control
Conference – Monday (evening) through Thursday (noon)
December 13 – 16, 2004:
Invited Speakers
John Donoghue, Brown University
Mind over Movement: Developing Neurotechnologies to Restore Lost Function
Gerd Gigerenzer, Max Planck Institute for Human Development
Fast and Frugal Heuristics: The Adaptive Toolbox
Nati Linial, Hebrew University of Jerusalem
Expanders, Eigenvalues and All That
Bernard Palsson, University of California, San Diego
Systems Biology: Bringing Genomes to Life
Shimon Ullman, Weizmann Institute of Science
Classification, Recognition and Segmentation Using Fragments Hierarchy
Workshops – Thursday (evening), Friday and Saturday, December 16 – 18, 2004:
Organizers: Terry Sejnowski, The Salk Institute and the University of
California, San Diego;
Steve Zucker,
Yale University
Learning in
Graphics and Vision
Organizers:
Radek Grzeszczuk, Intel Research; Aaron Hertzmann, University of Toronto
Structured
Data and Representations in Probabilistic Models for Categorization
Organizers: Josh Tenenbaum, MIT; David Danks,
Carnegie Mellon University; Chris Williams, University of Edinburgh; Charles
Kemp, MIT; Amy Perfors, MIT
Learning
With Structured Outputs
Organizers: Gškhan Bakir, MPI; Arthur Gretton, MPI; Thomas Hoffmann, Brown University;
Bernhard Schšlkopf, MPI
Towards
Brain Computer Interfacing
Organizers: Guido Dornhege, Fraunhofer FIRST.IDA;
Thilo Hinterberger, University of Tuebingen; Dennis McFarland, NYS Department
of Health; Jose del R Millan, IDIAP Research Institute; Klaus-Robert MŸller,
Fraunhofer FIRST.IDA
Organizers: Nando de Freitas, University of British
Columbia; Daniel Huttenlocher, Cornell
Reinforcement
Learning and the Brain: Beyond the
Dopamine System
Organizers: Nathaniel D. Daw, University College
London; Samuel McClure, Princeton University
Organizers: Richard Shiffrin, Jason Gold, Indiana
University;
Andrew Cohen,
University of Massachusetts, Amherst; Florin Cutzu, Indiana University
Organizers: Tue Lehn-Schi¿ler, The Technical
University of Denmark; Samy Bengio, IDIAP; Lars Kai Hansen, The Technical
University of Denmark; Stephane Canu, l'INSA de Rouen
Organizers: Alex J. Smola, National ICT Australia;
S V N Vishwanathan, National ICT Australia; Ben Taskar, Stanford University
MIPS
-- Music Information Processing Systems
Organizers: Douglas Eck, University of Montreal;
Daniel P. W. Ellis, Columbia University; Ali Taylan Cemgil, University of
Amsterdam; Jean-François Paiement, IDIAP Research Institute
Organizers: Shai Ben-David, University of Waterloo;
John Langford, TTI-Chicago; John Shawe-Taylor, Southampton; Bob Williamson,
NICTA
The
Neurobiology of Planning and Deciding: Studies from Many Levels of Brain
Organization
Organizers: Patricia S. Churchland, University of
California, San Diego; Terry Sejnowski, The Salk Institute and the University
of California, San Diego
Calibration
and Probabilistic Prediction in Supervised Learning
Organizers: Rich Caruana, Cornell University; Greg
Grudic, University of Colorado
Activity
Recognition and Discovery
Organizers: Irfan Essa, Georgia Tech; Dieter Fox,
University of Washington
Interneurons
and Cortical Function: A Fair and Balanced Workshop
Organizers: Bartlett W. Mel, University of Southern
California; Judith A. Hirsch, University of Southern California; Kenneth D.
Miller, University of California
Verification,
Validation, and Testing of Learning Systems
Organizers: Dragos Margineantu, The Boeing Company;
Pramod Gupta, NASA Ames Research Center; Johann Schumann, NASA Ames Research
Center; Michael Drumheller, The Boeing Company; Roman Fresnedo, The Boeing
Company
New
Problems and Methods in Computational Biology
Organizers: Gal Chechik, Department of Computer
Science; Christina Leslie, Center for Computational Learning Systems, Columbia
University; Gunnar Ratsch, Max Planck Institute for Biological Cybernetics
(Tuebingen) and Fraunhofer FIRST (Berlin); Koji Tsuda, Max Planck Institute for Biological Cybernetics
(Tuebingen) and AIST Computational Biology Research Center (Tokyo)
Reinforcement
Learning Benchmarks and Bake-offs
Organizers: Richard S. Sutton, University of
Alberta; Michael L. Littman, Rutgers University