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Workshops

Workshops

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

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

 

Large Scale Kernel Machines

Leon Bottou

 

Learning to Rank

Shivani Agarwal

 

Machine Learning in Finance

John Moody

 

New Methods and Problems in Computational Biology

Gunnar Raetsch

 

Open Problems and Challenges for Nonparametric Bayesian Methods

in Machine Learning

Matthew Beal and Yee Whye Teh

 

Reinforcement Learning Benchmarks and Bake-offs II

Martin Riedmiller

 

The Accuracy-Regularization Frontier

Nathan Srebro

 

Towards Human-Level AI?

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

 

Interclass Transfer Workshop: Why Learning to Recognize Many Objects Might be Easier Than Learning to Recognize Just One

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