Venue: Brown University (opens in new tab)
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 |
||
|
Part I: Foundations |
|||
|
8:30–9:20
|
Fundamental Principles of Representation and Inference |
||
|
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 |
||
|
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 |