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Tutorial
Mon Dec 09:30 AM -- 11:30 AM PST @ Emerald Bay B, Harveys Convention Center Floor (CC)
Representation, Inference and Learning in Structured Statistical Models
Lise Getoor
Tutorial
Mon Dec 09:30 AM -- 11:30 AM PST @ Emerald Bay A, Harveys Convention Center Floor (CC)
Exact Approximate Learning
Paul Fearnhead
Tutorial
Mon Dec 10:00 AM -- 10:30 AM PST
Coffee break
Tutorial
Mon Dec 01:00 PM -- 03:00 PM PST @ Emerald Bay B, Harveys Convention Center Floor (CC)
Machine Learning for Student Learning
Emma Brunskill · Geoffrey Gordon
Tutorial
Mon Dec 01:00 PM -- 03:00 PM PST @ Emerald Bay A, Harveys Convention Center Floor (CC)
User-Friendly Tools for Studying Random Matrices
Joel A Tropp
Tutorial
Mon Dec 03:00 PM -- 03:30 PM PST
Coffee break
Tutorial
Mon Dec 03:30 PM -- 05:30 PM PST @ Emerald Bay A, Harveys Convention Center Floor (CC)
Stochastic Search and Optimization
James Spall
Tutorial
Mon Dec 03:30 PM -- 05:30 PM PST @ Emerald Bay B, Harveys Convention Center Floor (CC)
Consciousness and Information Theory
Giulio Tononi