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Graduate Summer School: Probabilistic Models of Cognition: The Mathematics of Mind

July 9 - 26, 2007

UCLA Faculty Center, California Room

Printable Version

Monday, July 09, 2007

Morning Session

8:00 - 8:45 Check-in & Continental Breakfast
8:45 - 9:00 Introductory Remarks
9:00 - 10:00

Josh Tenenbaum (Massachusetts Institute of Technology)

"Introduction to Probabilistic Models of Cognition"
Presentation (PowerPoint File)

10:00 - 10:15 Break
10:15 - 11:15

Josh Tenenbaum (Massachusetts Institute of Technology)

"Basic Bayes: model fitting, model selection, and model averaging"
Presentation (PowerPoint File)

11:15 - 11:30 Break
11:30 - 12:30

Nick Chater (University College London)

"From deduction and symbols to induction and probabilities"
Presentation (PowerPoint File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Introduction to Graphical Models"
Presentation (PowerPoint File)

3:00 - 4:00

Robert Jacobs (University of Rochester)

"Bayesian Decision Theory"
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Ying Nian Wu (UCLA)

"Information Theory"
Presentation (PowerPoint File)

5:30 - 7:00 Opening Reception hosted by IPAM (IPAM Building)

*Optional Evening Session - Nick Chater, Tom Griffiths, Josh Tenenbaum, "Subjective probability and Bayesian foundations"

Matlab tutorial, by Amy Perfors


Tuesday, July 10, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Alan Yuille (University of California, Los Angeles (UCLA))

"Graphical Models in Vision"
Presentation (PowerPoint File)

10:00 - 10:15 Break
10:15 - 11:15

Alan Yuille (University of California, Los Angeles (UCLA))

"HMMs and inference in graphical models I"
Presentation (PowerPoint File)

11:15 - 11:30 Break
11:30 - 12:30

Robert Jacobs (University of Rochester)

"Ideal Observers and Ideal Actors"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45

Hongjing Lu (University of Hong Kong)

"Comparisons between human performance and model predictions in motion perception"
Presentation (PDF File)

3:00 - 4:00

Alan Yuille (University of California, Los Angeles (UCLA))

"HMMs and inference in graphical models II"
Presentation (PowerPoint File)

4:00 - 4:30 Break
4:30 - 5:30

Robert Jacobs (University of Rochester)

"Sensory Cue Combination"
Presentation (PowerPoint File)

*Optional Evening Session - Introduction to software for Bayesian modeling: SamIAm, Bayes Net Toolbox (BNT)


Wednesday, July 11, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Zoubin Ghahramani (University of Cambridge)

"Probabilistic generative models and unsupervised learning I"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Zoubin Ghahramani (University of Cambridge)

"Probabilistic generative models and unsupervised learning II"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Zoubin Ghahramani (University of Cambridge)

"Nonparametric Bayesian Models "
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 Breakout Session

Zoubin Ghahramani
Questions on generative models and nonparametric Bayes
3:00 - 4:00

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Modern Monte Carlo methods I: Importance sampling and sequential Monte Carlo "
Presentation (PowerPoint File)

4:00 - 4:30 Break
4:30 - 5:30

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Modern Monte Carlo methods II: Markov chain Monte Carlo "
Presentation (PowerPoint File)

*Optional Evening Session - Nick Chater, "Scale invariance in human cognition"
PowerPoint Presentation


Thursday, July 12, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:30

Zoubin Ghahramani (University of Cambridge)

"Bayesian supervised learning and semi-supervised learning"
Presentation (ZIP File)

10:30 - 11:00 Break
11:00 - 12:30

Ying Nian Wu (UCLA)

"Hierarchical Bayesian Models"
Presentation (PowerPoint File)

12:30 - 1:30 Lunch (on your own)

Charles Kemp, Amy Perfors, Josh Tenenbaum
Learning overhypotheses with hierarchical Bayesian models

Afternoon Session

1:45 - 2:45 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
3:00 - 4:15

Josh Tenenbaum (Massachusetts Institute of Technology)

"Hierarchical Bayesian models of human inductive learning"
Presentation (PowerPoint File)

4:15 - 4:30 Break
4:30 - 5:30

Nick Chater (University College London)

"Information theory, minimum description length, and human cognition"
Presentation (PowerPoint File)

*Optional Evening Session - Michael Lee, "Bayesian model theoretics and BUGS"


Friday, July 13, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 9:45

Ying Nian Wu (UCLA)

"Causal Models "
Presentation (PowerPoint File)

9:50 - 10:45

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Graphical models and human causal learning "
Presentation (PDF File)

10:45 - 11:15 Break
11:15 - 12:00

Hongjing Lu (University of Hong Kong)

"Model selection versus parameter estimation in Bayesian inference: An application to causal learning"
Presentation (PDF File)

12:05 - 12:50

Patricia Cheng (University of California, Los Angeles (UCLA))

"Causal Reasoning in Humans and Rats"

12:50 - 2:00 Lunch (on your own)

Breakout Sessions

Ed Vul
"Bayes Net Toolbox causal model demo"

Afternoon Session

2:00 - 3:00

Alison Gopnik (University of California, Berkeley (UC Berkeley))

"Causal Learning in Children"
Presentation (PDF File)

3:15 - 4:00

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Modeling causal learning in children"
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Keith Holyoak (University of California, Los Angeles (UCLA))

"From Causal Models to Analogical Inference"
Presentation (PDF File)


Monday, July 16, 2007

Morning Session

8:00 - 9:00 Check-in & Continental Breakfast
9:00 - 10:00

Stuart Russell (University of California, Berkeley (UC Berkeley))

"Probability for Worlds with Things in Them"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Brian Milch (Massachusetts Institute of Technology)

"Relational Probability Models"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Brian Milch (Massachusetts Institute of Technology)

"Unknown Objects and BLOG"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 Breakout Sessions

Stuart Russell, Brian Milch
Questions on first-order probability and BLOG
3:00 - 4:00

Josh Tenenbaum (Massachusetts Institute of Technology)

"First-order probabilistic models in human cognition"
Presentation (PDF File)
Presentation (PowerPoint File)

4:00 - 4:30 Break
4:30 - 5:30

Charles Kemp (Massachusetts Institute of Technology)

"Learning relational theories"
Presentation (PDF File)

*Optional Evening Session - Stanley Kok, Markov Logic Networks (MLNs) and the Alchemy system
Presentation (PowerPoint)


Tuesday, July 17, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Stuart Geman (Brown University)

"Hierarchy and Reusability in Image Analysis I"
Presentation (PDF File)
Presentation (PowerPoint File)

10:00 - 10:15 Break
10:15 - 11:15

Stuart Geman (Brown University)

"Hierarchy and Reusability in Image Analysis II"

11:15 - 11:30 Break
11:30 - 12:30

Alan Yuille (University of California, Los Angeles (UCLA))

"Image Parsing "
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 Breakout Session

Stuart Geman/Alan Yuille
Questions on grammars for image parsing

Stanley Kok
Questions on MLNs and Alchemy
3:00 - 4:00

Fei-Fei Li (Princeton University)

"Discovering Meaning in the Visual World"
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Dan Kersten (University of Minnesota, Twin Cities)

"Human Object Perception: Bottom-up and Top-down"
Presentation (PDF File)

*Optional Evening Session: Stuart Russell, Brian Milch, Josh Tenenbaum, Charles Kemp, et al: Discussion on connections between Cognitive Science and AI.


Wednesday, July 18, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Mark Johnson (Brown University)

"An introduction to grammars and parsing for language 1"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Mark Johnson (Brown University)

"An introduction to grammars and parsing for language 2
Updated Presentation"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Roger Levy (University of California, San Diego)

"Probabilistic sentence processing 1"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 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
3:00 - 4:00

Roger Levy (University of California, San Diego)

"Probabilistic sentence processing 2"
Presentation (PDF File)
Presentation (PowerPoint File)

4:00 - 4:30 Break
4:30 - 5:30

Mark Steyvers (University of California, Irvine (UCI))

"Semantic Representations with Probabilistic Topic Models"
Presentation (PDF File)
Presentation (PowerPoint File)

5:30 - 7:00 Reception hosted by IPAM (IPAM Building)

Thursday, July 19, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Peter Dayan (University College London)

"Models of conditioning"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

John Kruschke (Indiana University)

"Locally Bayesian Learning"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Nathaniel Daw (New York University)

"Advanced conditioning: competition and graphical models"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 Breakout Session

Stuart Russell, Peter Dayan
Questions and dialog on reinforcement learning
3:00 - 4:00

Stuart Russell (University of California, Berkeley (UC Berkeley))

"Reinforcement Learning "
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Angela Yu (Princeton University)

"Bayesian Decision Theory and Sequential Sampling"
Presentation (PDF File)


Friday, July 20, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Bernard Balleine (UCLA)

"Neural Substrates for Conditioning"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Peter Dayan (University College London)

"Neural representation of value, reward and expectation"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Nathaniel Daw (New York University)

"Reinforcement learning in human neuroimaging; uncertainty-based competition"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 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)
3:00 - 4:00

Stuart Russell (University of California, Berkeley (UC Berkeley))

"Hierarchical reinforcement learning"
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Josh Tenenbaum (Massachusetts Institute of Technology)

"Models of human action understanding and social cognition as inverse decision-making"
Presentation (PDF File)


Monday, July 23, 2007

Morning Session

8:00 - 9:00 Check-in & Continental Breakfast
9:00 - 10:00

Laurence Maloney (New York University)

"Statistical decision theory as a framework for cognition and action."
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Nathaniel Daw (New York University)

"Neuro- and behavioral economic analysis of human choice and learning"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:30

Konrad Koerding (Northwestern University Medical School)

"Using Decision Theory to understand Motor Control"
Presentation (PDF File)

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 - 2:45 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)
3:00 - 4:00

Josh Tenenbaum (Massachusetts Institute of Technology)

"Rational analysis of human memory and prediction"
Presentation (PDF File)

4:00 - 4:30 Break
4:30 - 5:30

Rich Shiffrin (Indiana University)

"Bayesian models of memory retrieval"
Presentation (PDF File)


Tuesday, July 24, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Amy Perfors (Massachusetts Institute of Technology)

"Grammar induction in language"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Alan Yuille (University of California, Los Angeles (UCLA))

"Grammer induction in vision"
Presentation (PDF File)

11:15 - 11:30 Break
11:30 - 12:15

Josh Tenenbaum (Massachusetts Institute of Technology)

"Cognitive development as a computational challenge: the grammar analogy"
Presentation (PDF File)

12:15 - 1:15 Lunch (on your own)

Afternoon Session

1:30 - 2:30 Breakout Session

Opportunities for mathematicians and statisticians in cognitive science and neuroscience, with Alan Yuille, Mark Green, Yingnian Wu, Noah Goodman, others

Faculty Center
2:45 - 3:30

Charles Kemp (Massachusetts Institute of Technology)

"The development of structured representations"
Presentation (PDF File)

3:30 - 3:50 Break
3:50 - 4:25

Tom Griffiths (University of California, Berkeley (UC Berkeley))

"Development of Causal Theories"
Presentation (PDF File)

4:25 - 4:45 Break
4:45 - 5:30

Noah Goodman (Massachusetts Institute of Technology)

"Learning to be causal"
Presentation (PDF File)

7:30 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

Wednesday, July 25, 2007

Morning Session

8:00 - 9:00 Continental Breakfast
9:00 - 10:00

Konrad Koerding (Northwestern University Medical School)

"Causal Inference in Motor Learning and Adaptation"
Presentation (PDF File)

10:00 - 10:15 Break
10:15 - 11:15

Ladan Shams (UCLA)

"Multisensory integration-segregation as Bayesian inference"

11:15 - 11:30 Break
11:30 - 12:30

Jerome Busemeyer (Indiana University)

"Challenges for Bayes"

12:30 - 1:30 Lunch (on your own)

Afternoon Session

1:45 Symposium (Future Challenges): Josh Tenenbaum, Tom Griffiths, Alan Yuille, Keith Holyoak, Rich Shiffrin

Thursday, July 26, 2007

Morning Session

8:00 - 9:00 Continental Breakfast

Student Research Symposium

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