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 | ||
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8:25–8:30
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Opening Remarks |
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Part I: Foundations |
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8:30–9:20
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Fundamental Principles of Representation and Inference |
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9:20–9:30
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Discussion | ||
9:30–10:20
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Graphical Models in the Real World Instructors: Mark Peot and Michael Shwe, Knowledge Industries |
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10:20–10:30
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Discussion |
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10:30–11:00
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Coffee Break | ||
11:00–11:50
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A Unifying View on Inference |
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11:50–12:00
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Discussion | ||
12:00–1:30
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Lunch | ||
Part II: Advanced Topics | |||
1:30–2:20
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Advances in Learning Bayesian Networks Instructor: David Heckerman, Microsoft Research |
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2:20–2:30
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Discussion | ||
2:30–3:20
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Approximate Inference via Variational Techniques Instructor: Michael Jordan, M.I.T. |
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3:20–3:30
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Discussion | ||
3:30–4:00
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Coffee Break | ||
4:00–4:50
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Causality: From Metaphysics to Inference and Reasoning I Instructor: Judea Pearl, UCLA |
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4:50–5:00
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Discussion | ||
5:00–5:50
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Causality: From Metaphysics to Inference and Reasoning II Instructor: Judea Pearl, UCLA |
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5:50–6:00
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Discussion |