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

July 9 - 26, 2007

Schedule


Monday, July 9, 2007

9:00 - 10:00 Josh Tenenbaum (Massachusetts Institute of Technology)

Introduction to Probabilistic Models of Cognition
Presentation (PowerPoint File)

10:15 - 11:15 Josh Tenenbaum (Massachusetts Institute of Technology)

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

11:30 - 12:30 Nick Chater (University College London)

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

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)

4:30 - 5:30 Ying Nian Wu (UCLA)

Information Theory
Presentation (PowerPoint File)


Tuesday, July 10, 2007

9:00 - 10:00 Alan Yuille (University of California, Los Angeles (UCLA))

Graphical Models in Vision
Presentation (PowerPoint File)

10:15 - 11:15 Alan Yuille (University of California, Los Angeles (UCLA))

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

11:30 - 12:30 Robert Jacobs (University of Rochester)

Ideal Observers and Ideal Actors
Presentation (PDF File)

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)

4:30 - 5:30 Robert Jacobs (University of Rochester)

Sensory Cue Combination
Presentation (PowerPoint File)


Wednesday, July 11, 2007

9:00 - 10:00 Zoubin Ghahramani (University of Cambridge)

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

10:15 - 11:15 Zoubin Ghahramani (University of Cambridge)

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

11:30 - 12:30 Zoubin Ghahramani (University of Cambridge)

Nonparametric Bayesian Models
Presentation (PDF File)

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)

4:30 - 5:30 Tom Griffiths (University of California, Berkeley (UC Berkeley))

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


Thursday, July 12, 2007

9:00 - 10:30 Zoubin Ghahramani (University of Cambridge)

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

11:00 - 12:30 Ying Nian Wu (UCLA)

Hierarchical Bayesian Models
Presentation (PowerPoint File)

3:00 - 4:15 Josh Tenenbaum (Massachusetts Institute of Technology)

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

4:30 - 5:30 Nick Chater (University College London)

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


Friday, July 13, 2007

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)

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

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)

4:30 - 5:30 Keith Holyoak (University of California, Los Angeles (UCLA))

From Causal Models to Analogical Inference
Presentation (PDF File)


Monday, July 16, 2007

9:00 - 10:00 Stuart Russell (University of California, Berkeley (UC Berkeley))

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

10:15 - 11:15 Brian Milch (Massachusetts Institute of Technology)

Relational Probability Models
Presentation (PDF File)

11:30 - 12:30 Brian Milch (Massachusetts Institute of Technology)

Unknown Objects and BLOG
Presentation (PDF File)

3:00 - 4:00 Josh Tenenbaum (Massachusetts Institute of Technology)

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

4:30 - 5:30 Charles Kemp (Massachusetts Institute of Technology)

Learning relational theories
Presentation (PDF File)


Tuesday, July 17, 2007

9:00 - 10:00 Stuart Geman (Brown University)

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

10:15 - 11:15 Stuart Geman (Brown University)

Hierarchy and Reusability in Image Analysis II

11:30 - 12:30 Alan Yuille (University of California, Los Angeles (UCLA))

Image Parsing
Presentation (PDF File)

3:00 - 4:00 Fei-Fei Li (Princeton University)

Discovering Meaning in the Visual World
Presentation (PDF File)

4:30 - 5:30 Dan Kersten (University of Minnesota, Twin Cities)

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


Wednesday, July 18, 2007

9:00 - 10:00 Mark Johnson (Brown University)

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

10:15 - 11:15 Mark Johnson (Brown University)

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

11:30 - 12:30 Roger Levy (University of California, San Diego)

Probabilistic sentence processing 1
Presentation (PDF File)

3:00 - 4:00 Roger Levy (University of California, San Diego)

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

4:30 - 5:30 Mark Steyvers (University of California, Irvine (UCI))

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


Thursday, July 19, 2007

9:00 - 10:00 Peter Dayan (University College London)

Models of conditioning
Presentation (PDF File)

10:15 - 11:15 John Kruschke (Indiana University)

Locally Bayesian Learning
Presentation (PDF File)

11:30 - 12:30 Nathaniel Daw (New York University)

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

3:00 - 4:00 Stuart Russell (University of California, Berkeley (UC Berkeley))

Reinforcement Learning
Presentation (PDF File)

4:30 - 5:30 Angela Yu (Princeton University)

Bayesian Decision Theory and Sequential Sampling
Presentation (PDF File)


Friday, July 20, 2007

9:00 - 10:00 Bernard Balleine (UCLA)

Neural Substrates for Conditioning
Presentation (PDF File)

10:15 - 11:15 Peter Dayan (University College London)

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

11:30 - 12:30 Nathaniel Daw (New York University)

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

3:00 - 4:00 Stuart Russell (University of California, Berkeley (UC Berkeley))

Hierarchical reinforcement learning
Presentation (PDF File)

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

9:00 - 10:00 Laurence Maloney (New York University)

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

10:15 - 11:15 Nathaniel Daw (New York University)

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

11:30 - 12:30 Konrad Koerding (Northwestern University Medical School)

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

3:00 - 4:00 Josh Tenenbaum (Massachusetts Institute of Technology)

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

4:30 - 5:30 Rich Shiffrin (Indiana University)

Bayesian models of memory retrieval
Presentation (PDF File)


Tuesday, July 24, 2007

9:00 - 10:00 Amy Perfors (Massachusetts Institute of Technology)

Grammar induction in language
Presentation (PDF File)

10:15 - 11:15 Alan Yuille (University of California, Los Angeles (UCLA))

Grammer induction in vision
Presentation (PDF File)

11:30 - 12:15 Josh Tenenbaum (Massachusetts Institute of Technology)

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

2:45 - 3:30 Charles Kemp (Massachusetts Institute of Technology)

The development of structured representations
Presentation (PDF File)

3:50 - 4:25 Tom Griffiths (University of California, Berkeley (UC Berkeley))

Development of Causal Theories
Presentation (PDF File)

4:45 - 5:30 Noah Goodman (Massachusetts Institute of Technology)

Learning to be causal
Presentation (PDF File)


Wednesday, July 25, 2007

9:00 - 10:00 Konrad Koerding (Northwestern University Medical School)

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

10:15 - 11:15 Ladan Shams (UCLA)

Multisensory integration-segregation as Bayesian inference

11:30 - 12:30 Jerome Busemeyer (Indiana University)

Challenges for Bayes