{"id":335231,"date":"2017-01-02T23:00:23","date_gmt":"2017-01-03T07:00:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=335231"},"modified":"2025-08-06T11:58:43","modified_gmt":"2025-08-06T18:58:43","slug":"uai-97-uncertain-reasoning-course","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/uai-97-uncertain-reasoning-course\/","title":{"rendered":"UAI ’97 Full-Day Course on Uncertain Reasoning"},"content":{"rendered":"\n\n

Venue:<\/strong>\u00a0Brown University (opens in new tab)<\/span><\/a><\/p>\n

This one-day course on principles and applications of uncertain reasoning was given the day before the start of the main UAI ’97 conference<\/a>.Opens in a new tab<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/th>\nSession<\/th>\n<\/tr>\n<\/thead>\n
\n
8:25\u20138:30<\/div>\n<\/td>\n
\n
\n

Opening Remarks<\/strong>
\nDan Geiger and Prakash P. Shenoy<\/i><\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n\n
\n

Part I: Foundations<\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n<\/tr>\n
\n
8:30\u20139:20<\/div>\n<\/td>\n
\n
\n

Fundamental Principles of Representation and Inference
\n<\/b>Instructor: Ross Shachter, Stanford University<\/em><\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n<\/tr>\n
\n
9:20\u20139:30<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
9:30\u201310:20<\/div>\n<\/td>\n
Graphical Models in the Real World
\n<\/b>Instructors: Mark Peot and Michael Shwe, Knowledge Industries<\/em><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n
\n
10:20\u201310:30<\/div>\n<\/td>\n
\n
\n

Discussion<\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n<\/tr>\n
\n
10:30\u201311:00<\/div>\n<\/td>\n
Coffee Break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
11:00\u201311:50<\/div>\n<\/td>\n
\n
\n

A Unifying View on Inference
\n<\/b>Instructor: Rina Dechter, University of California\u2013Irvine<\/em>
\n<\/b><\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/td>\n<\/tr>\n
\n
11:50\u201312:00<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
12:00\u20131:30<\/div>\n<\/td>\n
Lunch<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\nPart II: Advanced Topics<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
1:30\u20132:20<\/div>\n<\/td>\n
Advances in Learning Bayesian Networks
\n<\/b>Instructor: David Heckerman, Microsoft Research<\/i><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n
\n
2:20\u20132:30<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
2:30\u20133:20<\/div>\n<\/td>\n
Approximate Inference via Variational Techniques
\n<\/b>Instructor: Michael Jordan, M.I.T.<\/i><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n
\n
3:20\u20133:30<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
3:30\u20134:00<\/div>\n<\/td>\n
Coffee Break<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
4:00\u20134:50<\/div>\n<\/td>\n
Causality: From Metaphysics to Inference and Reasoning I
\n<\/b>Instructor: Judea Pearl, UCLA<\/i><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n
\n
4:50\u20135:00<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
\n
5:00\u20135:50<\/div>\n<\/td>\n
Causality: From Metaphysics to Inference and Reasoning II
\n<\/b>Instructor: Judea Pearl, UCLA<\/i><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n
\n
5:50\u20136:00<\/div>\n<\/td>\n
Discussion<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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