Note: This is a draft schedule and is subject to change.
| Contestants | Leaders | Guests | |
| 06:00 - 07:00 | Breakfast | Breakfast | Breakfast |
| 07:00 - 08:00 | |||
| 08:00 - 09:00 | |||
| 09:00 - 10:00 | Excursion: Australia Zoo |
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| 10:00 - 11:00 | |||
| 11:00 - 12:00 | |||
| 12:00 - 13:00 | |||
| 13:00 - 14:00 | |||
| 14:00 - 15:00 | |||
| 15:00 - 16:00 | |||
| 16:00 - 17:00 | |||
| 17:00 - 18:00 | Free Time | ||
| 18:00 - 19:00 | Dinner |
Dinner * 7pm: Public lecture |
Dinner * 7pm: Public lecture |
| 19:00 - 20:00 | |||
| 20:00 - 21:00 | Free Time | Free Time | Free Time |
| 21:00 - 22:00 | |||
Public Lecture: Large scale statistical machine learning – a revolution in statistics and a revolution in artificial intelligence
Speaker: Peter Bartlett
Mathematical Sciences, Queensland University of Technology.
Computer Science and Statistics, University of California at Berkeley.
Venue: 50-T103 (Hawken Building, UQ)
There has been enormous recent progress on many difficult problems in artificial intelligence, such as recognising objects in images, responding intelligently to web search queries, and understanding natural language. This progress has hinged on advances in effective statistical machine learning methods, which use massive data sets to learn to solve these problems. This talk will outline some of these advances, emphasizing both the statistical science – in understanding how to extract useful information from data – and the computational science – in understanding how to minimize the computational cost of exploiting massive data sets.
