July 31, 1997

UAI ’97 Full-Day Course on Uncertain Reasoning

8:30 AM – 6:00 PM

Location: Providence, Rhode Island, USA

Venue: Brown University

This one-day course on principles and applications of uncertain reasoning was given the day before the start of the main UAI ’97 conference.

Time Session
8:25–8:30

Opening Remarks
Dan Geiger and Prakash P. Shenoy

Part I: Foundations
8:30–9:20

Fundamental Principles of Representation and Inference
Instructor: Ross Shachter, Stanford University
9:20–9:30
 Discussion
9:30–10:20
 Graphical Models in the Real World
Instructors: Mark Peot and Michael Shwe, Knowledge Industries
10:20–10:30

Discussion
10:30–11:00
 Coffee Break
11:00–11:50

A Unifying View on Inference
Instructor: Rina Dechter, University of California–Irvine
11:50–12:00
 Discussion
12:00–1:30
 Lunch
Part II: Advanced Topics
1:30–2:20
 Advances in Learning Bayesian Networks
Instructor: David Heckerman, Microsoft Research
2:20–2:30
 Discussion
2:30–3:20
 Approximate Inference via Variational Techniques
Instructor: Michael Jordan, M.I.T.
3:20–3:30
 Discussion
3:30–4:00
 Coffee Break
4:00–4:50
 Causality: From Metaphysics to Inference and Reasoning I
Instructor: Judea Pearl, UCLA
4:50–5:00
 Discussion
5:00–5:50
 Causality: From Metaphysics to Inference and Reasoning II
Instructor: Judea Pearl, UCLA
5:50–6:00
 Discussion