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Timezone: America/Vancouver »

Indicates the beginning of a session

 Sun Dec 06, 2009

Time 3rd Floor, Hyatt Regency Vancouver
04:00 PM (Placeholders)
Registration Desk

 Tue Dec 08, 2009

Time Queen Charlotte, Oxford Regency A - Conference Level
07:30 AM (Breaks)
Breakfast
08:00 AM (Placeholders)
Registration Desk, Internet Cafe

 Wed Dec 09, 2009

Time Queen Charlotte, Oxford Regency Ballroom - Conference Level
07:30 AM (Breaks)
Breakfast
08:00 AM (Placeholders)
Registration Desk, Internet Cafe

 Thu Dec 10, 2009

Time Regency D Regency E/F Regency A Regency B Regency C Oxford Queen Charlotte Westin: Emerald Westin Lobby, Whistler Emerald Ballroom, Westin, Whistler Regency A - Conference Level
07:30 AM (Breaks)
Breakfast
08:00 AM (Placeholders)
Internet Cafe
Registration Desk
01:30 PM (Mini Symposiums)
Mini Symposia
Machine Learning for Sustainability
Partially Observable Reinforcement Learning
Causality and Time Series Analysis
Assistive Machine Learning for People with Disabilities
Mini Symposia
Machine Learning in Computational Biology
05:00 PM (Placeholders)
Registration Desk
09:30 PM (Placeholders)
Opening Remarks
09:40 PM (Invited Talks)
Cognitive Dynamic Radio

 Fri Dec 11, 2009

Time Hilton: Sutcliffe A Hilton: Sutcliffe B Hilton: Black Tusk Westin: Emerald A Westin: Glacier Hilton: Diamond Head Westin: Callaghan Westin: Nordic Hilton: Cheakamus Westin Lobby, Whistler Hilton: Mt. Currie South Hilton: Mt. Currie North Westin: Alpine DE Westin: Alpine BC Westin: Alpine A
06:30 AM (Breaks)
Breakfast
07:00 AM (Placeholders)
Registration Desk
07:30 AM (Workshops)
Grammar Induction, Representation of Language and Language Learning
Understanding Multiple Kernel Learning Methods
The Curse of Dimensionality Problem: How Can the Brain Solve It?
Adaptive Sensing, Active Learning, and Experimental Design
Statistical Machine Learning for Visual Analytics
Advances in Ranking
Applications for Topic Models: Text and Beyond
Analyzing Networks and Learning With Graphs
Discrete Optimization in Machine Learning: Submodularity, Polyhedra and Sparsity
Clustering: Science or art? Towards principled approaches
Large-Scale Machine Learning: Parallelism and Massive Datasets
Machine Learning in Computational Biology
Probabilistic Approaches for Control and Robotics
Normative electrophysiology: Explaining cellular properties of neurons from first principles
03:30 PM (Placeholders)
Registration Desk

 Sat Dec 12, 2009

Time Hilton: Sutcliffe A Hilton: Sutcliffe B Westin: Emerald A Westin: Glacier Hilton: Diamond Head Westin: Nordic Hilton: Cheakamus Hilton: Black Tusk Westin Lobby, Whistler Westin Lobby, Vancouver Hilton: Mt. Currie South Westin: Alpine DE Westin: Alpine BC Westin: Callaghan Westin: Alpine A Hilton: Mt. Currie North
06:30 AM (Breaks)
Breakfast
07:00 AM (Placeholders)
Registration Desk
07:30 AM (Workshops)
Learning from Multiple Sources with Applications to Robotics
Optimization for Machine Learning
Nonparametric Bayes
Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing
Learning with Orderings
Connectivity Inference in Neuroimaging
Deep Learning for Speech Recognition and Related Applications
Analysis and Design of Algorithms for Interactive Machine Learning
Manifolds, sparsity, and structured models: When can low-dimensional geometry really help?
The Generative and Discriminative Learning Interface
Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain
Transfer Learning for Structured Data
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View
Approximate Learning of Large Scale Graphical Models
03:30 PM (Placeholders)
Registration Desk