Graduate Summer School: Probabilistic Models of Cognition

July 6 - 16, 2011

Schedule


Wednesday, July 6, 2011

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

Bayesian Cognition 1

10:30 - 11:30
Josh Tenenbaum (Massachusetts Institute of Technology)

Bayesian Cognition II

12:00 - 1:00
Noah Goodman (Stanford University)

Introduction to graphical models and probabilistic programs I

2:30 - 3:30
Noah Goodman (Stanford University)

Introduction to graphical models and probabilistic programs II
PDF Presentation

4:00 - 5:00
Alan Yuille (University of California, Los Angeles (UCLA))

Bayesian vision
PDF Presentation


Thursday, July 7, 2011

9:00 - 10:00
Iain Murray (University of Edinburgh)

Bayesian machine learning
PDF Presentation

10:30 - 11:30
Iain Murray (University of Edinburgh)

Introduction to Markov Chain Monte Carlo
PDF Presentation

12:00 - 1:00
Sharon Goldwater (University of Edinburgh)

Foundational models of language I
PDF Presentation

2:30 - 3:30
Sharon Goldwater (University of Edinburgh)

Foundational models of language II
PDF Presentation

4:00 - 4:30
Andreas Stuhlmueller (Massachusetts Institute of Technology)

Other inference techniques
PDF Presentation

4:30 - 5:00
Ruslan Salakhutdinov (University of Toronto)

Approximate Inference
PDF Presentation

8:30 - 9:30
Jun Zhang (University of Michigan)

Bayesian model of information accumulation in choice-reaction time tasks


Friday, July 8, 2011

9:00 - 10:00
Iain Murray (University of Edinburgh)

Advanced Markov Chain Monte Carlo
PDF Presentation

10:30 - 11:30
Ruslan Salakhutdinov (University of Toronto)

Deep Networks
PDF Presentation

12:00 - 1:00
Josh Tenenbaum (Massachusetts Institute of Technology)

Human learning to learn via hierarchical models

2:30 - 3:30
Ruslan Salakhutdinov (University of Toronto)

Machine learning and advanced hierarchical models
PDF Presentation

4:00 - 5:00
Brian Milch (Google Inc.)

BLOG
PDF Presentation


Saturday, July 9, 2011

10:30 - 11:30
Pedro Domingos (University of Washington)

Markov logic
Presentation (PowerPoint File)

12:00 - 1:00
Pedro Domingos (University of Washington)

More Markov logic

2:30 - 3:30
Noah Goodman (Stanford University)

Church (and the Probabilistic Language of Thought)
PDF Presentation

4:00 - 5:00
Judea Pearl (University of California, Los Angeles (UCLA))

Reasoning with Causes and Counterfactuals
Presentation (PowerPoint File)


Monday, July 11, 2011

9:00 - 10:00
Elie Bienenstock (Brown University)

Computation and Representation in Brains: A few Observations and one Speculation

10:30 - 11:30
Stuart Geman (Brown University)

Representing Relationships: Conditional Modeling and Sufficiency

12:00 - 1:00
Stuart Geman (Brown University)

Context versus Computation

2:30 - 3:30
Laurence Maloney (New York University)

Human sensory systems as perceptual inference

4:00 - 5:00
Hongjing Lu (University of California, Los Angeles (UCLA))

Probabilistic models of motion perception

6:30 - 7:30
Tomaso Poggio (Massachusetts Institute of Technology)

The computational magic of the ventral stream: towards a theory


Tuesday, July 12, 2011

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

Probability models for vision with known graph structure I & II

10:30 - 11:30
Alan Yuille (University of California, Los Angeles (UCLA))

Compositional learning for vision

12:00 - 1:00
Laurence Maloney (New York University)

Decision making and motor control

2:30 - 3:30
Song-Chun Zhu (University of California, Los Angeles (UCLA))

Learning And-Or Graph Representations for Objects and Events

4:00 - 5:00
Song-Chun Zhu (University of California, Los Angeles (UCLA))

Top-down/Bottom-up Inference in And-Or graphs

8:30 - 9:30
Josh Tenenbaum (Massachusetts Institute of Technology)

Intuitive Physics in the context of visual scene understanding


Wednesday, July 13, 2011

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

Non-parametric language models I

10:30 - 11:30
Mark Johnson (Macquarie University)

Non-parametric language models II

12:00 - 1:00
Roger Levy (University of California, San Diego (UCSD))

Sentence processing: Surprisal and noisy channel models

2:30 - 3:30
Percy Liang (University of California, Berkeley (UC Berkeley))

Inducing Semantics

4:00 - 5:00
Timothy O'Donnell (Massachusetts Institute of Technology)

Fragment Grammars: Productivity and reuse in language
PDF Presentation

8:30 - 9:30
Percy Liang (University of California, Berkeley (UC Berkeley))

Learning syntax


Thursday, July 14, 2011

9:00 - 10:00
Noah Goodman (Stanford University)

Probabilistic Pragmatics (and Semantics)
PDF Presentation

10:30 - 11:30
Roger Levy (University of California, San Diego (UCSD))

Language use, eye movements

12:00 - 1:00
Naomi Feldman (University of Maryland)

Models of phonology
PDF Presentation

2:30 - 3:30
Charles Kemp (Carnegie-Mellon University)

Predicate logic and human learning

4:00 - 5:00
Charles Kemp (Carnegie-Mellon University)

Kinship


Friday, July 15, 2011

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

Bayesian theory of mind

10:30 - 11:30
Noah Goodman (Stanford University)

Learning structured concepts from structured minds
PDF Presentation

12:00 - 1:00
Charles Kemp (Carnegie-Mellon University)

Learning abstract structural forms, learning about social systems

2:30 - 3:30
Tom Griffiths (University of California, Berkeley (UC Berkeley))

Human causal induction
PDF Presentation

4:00 - 5:00
Tom Griffiths (University of California, Berkeley (UC Berkeley))

Markov Chain Monte Carlo with People
PDF Presentation


Saturday, July 16, 2011

9:00 - 10:00
Tom Griffiths (University of California, Berkeley (UC Berkeley))

Rational Process Models
PDF Presentation