Monday, July 09, 2007
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Morning Session
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8:00 - 8:45
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Check-in & Continental Breakfast
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8:45 - 9:00
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Introductory Remarks
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9:00 - 10:00
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Introduction to Probabilistic Models of Cognition"
Presentation (PowerPoint File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Basic Bayes: model fitting, model selection, and model averaging"
Presentation (PowerPoint File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Nick Chater (University College London)
"From deduction and symbols to induction and probabilities"
Presentation (PowerPoint File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Introduction to Graphical Models"
Presentation (PowerPoint File)
Presentation (Webcast)
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3:00 - 4:00
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Robert Jacobs (University of Rochester)
"Bayesian Decision Theory"
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Yingnian Wu (UCLA)
"Information Theory"
Presentation (PowerPoint File)
Presentation (Webcast)
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5:30 - 7:00
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Opening Reception hosted by IPAM (IPAM Building)
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Tuesday, July 10, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Alan Yuille (University of California, Los Angeles (UCLA))
"Graphical Models in Vision"
Presentation (PowerPoint File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Alan Yuille (University of California, Los Angeles (UCLA))
"HMMs and inference in graphical models I"
Presentation (PowerPoint File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Robert Jacobs (University of Rochester)
"Ideal Observers and Ideal Actors"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Hongjing Lu (University of Hong Kong)
"Comparisons between human performance and model predictions in motion perception"
Presentation (PDF File)
Presentation (Webcast)
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3:00 - 4:00
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Alan Yuille (University of California, Los Angeles (UCLA))
"HMMs and inference in graphical models II"
Presentation (PowerPoint File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Robert Jacobs (University of Rochester)
"Sensory Cue Combination"
Presentation (PowerPoint File)
Presentation (Webcast)
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Wednesday, July 11, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Zoubin Ghahramani (University of Cambridge)
"Probabilistic generative models and unsupervised learning I"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Zoubin Ghahramani (University of Cambridge)
"Probabilistic generative models and unsupervised learning II"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Zoubin Ghahramani (University of Cambridge)
"Nonparametric Bayesian Models "
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Zoubin Ghahramani
Questions on generative models and nonparametric Bayes
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3:00 - 4:00
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Modern Monte Carlo methods I: Importance sampling and sequential Monte Carlo "
Presentation (PowerPoint File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Modern Monte Carlo methods II: Markov chain Monte Carlo "
Presentation (PowerPoint File)
Presentation (Webcast)
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Thursday, July 12, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:30
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Zoubin Ghahramani (University of Cambridge)
"Bayesian supervised learning and semi-supervised learning"
Presentation (ZIP File)
Presentation (Webcast)
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10:30 - 11:00
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Break
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11:00 - 12:30
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Yingnian Wu (UCLA)
"Hierarchical Bayesian Models"
Presentation (PowerPoint File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
Charles Kemp, Amy Perfors, Josh Tenenbaum
Learning overhypotheses with hierarchical Bayesian models
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Afternoon Session
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1:45 - 2:45
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Breakout Sessions
Zoubin Ghahramani, Yingnian Wu
Technical questions on Bayesian models
Tom Griffiths
MCMC with humans, and other questions on MCMC
"Practical experiments with simple Bayesian models", Amy Perfors
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3:00 - 4:15
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Hierarchical Bayesian models of human inductive learning"
Presentation (PowerPoint File)
Presentation (Webcast)
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4:15 - 4:30
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Break
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4:30 - 5:30
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Nick Chater (University College London)
"Information theory, minimum description length, and human cognition"
Presentation (PowerPoint File)
Presentation (Webcast)
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Friday, July 13, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 9:45
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Yingnian Wu (UCLA)
"Causal Models "
Presentation (PowerPoint File)
Presentation (Webcast)
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9:50 - 10:45
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Graphical models and human causal learning "
Presentation (PDF File)
Presentation (Webcast)
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10:45 - 11:15
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Break
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11:15 - 12:00
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Hongjing Lu (University of Hong Kong)
"Model selection versus parameter estimation in Bayesian inference: An application to causal learning"
Presentation (PDF File)
Presentation (Webcast)
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12:05 - 12:50
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Patricia Cheng (University of California, Los Angeles (UCLA))
"Causal Reasoning in Humans and Rats"
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12:50 - 2:00
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Lunch (on your own)
Breakout Sessions
Ed Vul
"Bayes Net Toolbox causal model demo"
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Afternoon Session
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2:00 - 3:00
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Alison Gopnik (University of California, Berkeley (UC Berkeley))
"Causal Learning in Children"
Presentation (PDF File)
Presentation (Webcast)
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3:15 - 4:00
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Modeling causal learning in children"
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Keith Holyoak (University of California, Los Angeles (UCLA))
"From Causal Models to Analogical Inference"
Presentation (PDF File)
Presentation (Webcast)
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Monday, July 16, 2007
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Morning Session
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8:00 - 9:00
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Check-in & Continental Breakfast
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9:00 - 10:00
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Stuart Russell (University of California, Berkeley (UC Berkeley))
"Probability for Worlds with Things in Them"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Brian Milch (Massachusetts Institute of Technology)
"Relational Probability Models"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Brian Milch (Massachusetts Institute of Technology)
"Unknown Objects and BLOG"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Sessions
Stuart Russell, Brian Milch
Questions on first-order probability and BLOG
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3:00 - 4:00
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Josh Tenenbaum (Massachusetts Institute of Technology)
"First-order probabilistic models in human cognition"
Presentation (PDF File)
Presentation (PowerPoint File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Charles Kemp (Massachusetts Institute of Technology)
"Learning relational theories"
Presentation (PDF File)
Presentation (Webcast)
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Tuesday, July 17, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Stuart Geman (Brown University)
"Hierarchy and Reusability in Image Analysis I"
Presentation (PDF File)
Presentation (PowerPoint File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Stuart Geman (Brown University)
"Hierarchy and Reusability in Image Analysis II"
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Alan Yuille (University of California, Los Angeles (UCLA))
"Image Parsing "
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Stuart Geman/Alan Yuille
Questions on grammars for image parsing
Stanley Kok
Questions on MLNs and Alchemy
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3:00 - 4:00
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Fei-Fei Li (Princeton University)
"Discovering Meaning in the Visual World"
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Dan Kersten (University of Minnesota, Twin Cities)
"Human Object Perception: Bottom-up and Top-down"
Presentation (PDF File)
Presentation (Webcast)
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Wednesday, July 18, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Mark Johnson (Brown University)
"An introduction to grammars and parsing for language 1"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Mark Johnson (Brown University)
"An introduction to grammars and parsing for language 2
Updated Presentation"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Roger Levy (University of California, San Diego)
"Probabilistic sentence processing 1"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Roger Levy, Mark Johnson
Questions on grammars for language, and connections between human and machine language research
Noah Goodman
Probabilistic grammars for concept learning
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3:00 - 4:00
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Roger Levy (University of California, San Diego)
"Probabilistic sentence processing 2"
Presentation (PDF File)
Presentation (PowerPoint File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Mark Steyvers (University of California, Irvine (UCI))
"Semantic Representations with Probabilistic Topic Models"
Presentation (PDF File)
Presentation (PowerPoint File)
Presentation (Webcast)
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5:30 - 7:00
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Reception hosted by IPAM (IPAM Building)
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Thursday, July 19, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Peter Dayan (University College London)
"Models of conditioning"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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John Kruschke (Indiana University)
"Locally Bayesian Learning"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Nathaniel Daw (New York University)
"Advanced conditioning: competition and graphical models"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Stuart Russell, Peter Dayan
Questions and dialog on reinforcement learning
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3:00 - 4:00
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Stuart Russell (University of California, Berkeley (UC Berkeley))
"Reinforcement Learning "
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Angela Yu (Princeton University)
"Bayesian Decision Theory and Sequential Sampling"
Presentation (PDF File)
Presentation (Webcast)
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Friday, July 20, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Bernard Balleine (UCLA)
"Neural Substrates for Conditioning"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Peter Dayan (University College London)
"Neural representation of value, reward and expectation"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Nathaniel Daw (New York University)
"Reinforcement learning in human neuroimaging; uncertainty-based competition"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Peter Dayan, Josh Tenenbaum, Angela Yu, & others
Neural representations of probability distributions
Jeffrey Beck (University of Rochester)
Bayesian Inference, Action Selection, and Learning with Probabilistic Population Codes
Presentation (PDF File)
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3:00 - 4:00
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Stuart Russell (University of California, Berkeley (UC Berkeley))
"Hierarchical reinforcement learning"
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Models of human action understanding and social cognition as inverse decision-making"
Presentation (PDF File)
Presentation (Webcast)
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Monday, July 23, 2007
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Morning Session
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8:00 - 9:00
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Check-in & Continental Breakfast
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9:00 - 10:00
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Laurence Maloney (New York University)
"Statistical decision theory as a framework for cognition and action."
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Nathaniel Daw (New York University)
"Neuro- and behavioral economic analysis of human choice and learning"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Konrad Koerding (Northwestern University Medical School)
"Using Decision Theory to understand Motor Control"
Presentation (PDF File)
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45 - 2:45
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Breakout Session
Craig Fox (UCLA)
Prospect theory and support theory
Reading: "Belief and Preference in Decision Under Uncertainty", by Craig R. Fox & Kelly E. See
Presentation (PDF File)
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3:00 - 4:00
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Rational analysis of human memory and prediction"
Presentation (PDF File)
Presentation (Webcast)
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4:00 - 4:30
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Break
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4:30 - 5:30
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Rich Shiffrin (Indiana University)
"Bayesian models of memory retrieval"
Presentation (PDF File)
Presentation (Webcast)
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Tuesday, July 24, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Amy Perfors (Massachusetts Institute of Technology)
"Grammar induction in language"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Alan Yuille (University of California, Los Angeles (UCLA))
"Grammer induction in vision"
Presentation (PDF File)
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:15
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Josh Tenenbaum (Massachusetts Institute of Technology)
"Cognitive development as a computational challenge: the grammar analogy"
Presentation (PDF File)
Presentation (Webcast)
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12:15 - 1:15
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Lunch (on your own)
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Afternoon Session
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1:30 - 2:30
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Breakout Session
Opportunities for mathematicians and statisticians in cognitive science and neuroscience, with Alan Yuille, Mark Green, Yingnian Wu, Noah Goodman, others
Faculty Center
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2:45 - 3:30
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Charles Kemp (Massachusetts Institute of Technology)
"The development of structured representations"
Presentation (PDF File)
Presentation (Webcast)
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3:30 - 3:50
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Break
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3:50 - 4:25
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Tom Griffiths (University of California, Berkeley (UC Berkeley))
"Development of Causal Theories"
Presentation (PDF File)
Presentation (Webcast)
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4:25 - 4:45
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Break
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4:45 - 5:30
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Noah Goodman (Massachusetts Institute of Technology)
"Learning to be causal"
Presentation (PDF File)
Presentation (Webcast)
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7:30
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Discussion and Q & A on grammar induction and unsupervised learning for structured statistical models with Alan Yuille, Josh Tenenbaum, Noah Goodman and Tom Griffiths
Math Sci 4000A
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Wednesday, July 25, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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9:00 - 10:00
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Konrad Koerding (Northwestern University Medical School)
"Causal Inference in Motor Learning and Adaptation"
Presentation (PDF File)
Presentation (Webcast)
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10:00 - 10:15
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Break
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10:15 - 11:15
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Ladan Shams (UCLA)
"Multisensory integration-segregation as Bayesian inference"
Presentation (Webcast)
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11:15 - 11:30
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Break
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11:30 - 12:30
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Jerome Busemeyer (Indiana University)
"Challenges for Bayes"
Presentation (Webcast)
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12:30 - 1:30
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Lunch (on your own)
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Afternoon Session
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1:45
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Symposium (Future Challenges): Josh Tenenbaum, Tom Griffiths, Alan Yuille, Keith Holyoak, Rich Shiffrin
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Thursday, July 26, 2007
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Morning Session
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8:00 - 9:00
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Continental Breakfast
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