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8 Program Highlights »
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Tutorial
Mon Dec 3rd 09:30 - 11:30 AM @ Emerald Bay A, Harveys Convention Center Floor (CC)
Exact Approximate Learning
Paul Fearnhead
Tutorial
Mon Dec 3rd 09:30 - 11:30 AM @ Emerald Bay B, Harveys Convention Center Floor (CC)
Representation, Inference and Learning in Structured Statistical Models
Lise Getoor
Tutorial
Mon Dec 3rd 10:00 - 10:30 AM @ None
Coffee break
Tutorial
Mon Dec 3rd 01:00 - 03:00 PM @ Emerald Bay B, Harveys Convention Center Floor (CC)
Machine Learning for Student Learning
Emma Brunskill · Geoffrey J Gordon
Tutorial
Mon Dec 3rd 01:00 - 03:00 PM @ Emerald Bay A, Harveys Convention Center Floor (CC)
User-Friendly Tools for Studying Random Matrices
Joel A Tropp
Tutorial
Mon Dec 3rd 03:00 - 03:30 PM @ None
Coffee break
Tutorial
Mon Dec 3rd 03:30 - 05:30 PM @ Emerald Bay A, Harveys Convention Center Floor (CC)
Stochastic Search and Optimization
James Spall
Tutorial
Mon Dec 3rd 03:30 - 05:30 PM @ Emerald Bay B, Harveys Convention Center Floor (CC)
Consciousness and Information Theory
Giulio Tononi