The post-Conference Workshops will be held at the Westin Resort and Spa in Whistler, British Columbia, Canada. The Workshops will begin at 6:30 pm on Thursday, December 8 with Registration and an opening Reception. Workshop sessions will begin on Friday, December 9 and continue through Saturday, December 10, 2005, ending with a banquet on Saturday evening.
The Workshops provide multi-track intensive sessions on a wide range of topics. The venue and schedule facilitate informality and depth. Please see a list of Workshops below, along with links to further information for each.
Workshop
Schedule
|
Thursday, December 8, 2005 |
|
|
6:30 pm - 8:00 pm |
Reception and Registration Emerald Ballroom and Hallway |
|
Friday, December 9, 2005 |
|
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6:30 am – 8:30 am |
Breakfast in Aubergine Grille |
|
7:00 am - 11:00 am |
Registration Desk Open |
|
7:30 am - 10:30 am |
Workshop Sessions |
|
3:30 pm – 6:30 pm |
Workshop Sessions |
|
Saturday, December 10, 2005 |
|
|
6:30 am – 8:30 am |
Breakfast in Aubergine Grille |
|
7:00 am – 11:00 am |
Registration Desk Open |
|
7:30 am – 10:30 am |
Workshop Sessions |
|
3:30 pm – 6:30 pm |
Workshop Sessions |
|
7:30 pm - 10:30 pm |
Closing Banquet in Emerald Ballroom |
Workshops
Friday, December 9, 2005
Advances in
Structured Learning for Text and Speech Processing
Koby
Crammer
Automatic Discovery of Object
Categories
Ian
Fasel
Decoding Brain States with Machine
Learning: Applications to fMRI
Luiz
Pessoa
Foundations of Active
Learning
Claire
Monteleoni
Inductive Transfer: 10 Years
Later
Daniel
L. Silver
Intelligence Beyond the
Desktop
Carlos
Guestrin
Leon
Bottou
Shivani
Agarwal
John
Moody
New Methods and Problems in
Computational Biology
Gunnar
Raetsch
Open Problems and Challenges for
Nonparametric Bayesian Methods
Matthew
Beal and Yee Whye Teh
Reinforcement Learning
Benchmarks and Bake-offs II
Martin
Riedmiller
The Accuracy-Regularization
Frontier
Nathan
Srebro
Andrew
Y. Ng
Saturday, December
10, 2005
Bayesian Methods for Natural
Language Processing
Hal
Daume III and Yee Whye Teh
Computational Methods for
Gene Expression Analysis in Neuroscience
Michael
Hawrylycz
Decision-making in
Complex Nervous Systems: A
Multi-Level Perspective
Patricia Churchland
Game Theory, Machine Learning and
Reasoning under Uncertainty
Iead
Rezek
Michael
Fink
Kernel Methods and Structured
Domains
Arthur
Gretton
Learning from Heterogeneous Data
William
Noble
Machine Learning Based
Robotics in Unstructured Environments
Greg
Grudic
Models of Behavioural
Learning
Chris
Watkins
Open Problems in Gaussian
Processes for Machine Learning
Joaquin
Quinonero Candela
Theoretical Foundations of
Clustering
Shai
Ben-David
Value of Information in
Inference, Learning and Decision-Making
Alina
Beygelzimer
Workshop on Activity
Recognition and Discovery
Dieter
Fox
Workshop on Machine Learning
for Inferring Intent from Eye Movements
Samuel
Kaski