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Plenary Speakers 
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 Robert Tibshirani Learning from Data: Statistical Advances and Challenges In this talk I survey some recent trends and developments in the field of Statistics, and try to identify some important research problems in the general area of "Learning from Data." The fields of statistics, computer science and artificial intelligence (at least) are key players in this area: I will try to pinpoint some of the things that statisticians can teach CS and AI, and what we hope to learn from them.
Robert Tibshirani is a Professor in the Departments Public Health Sciences, and Statistics at the University of Toronto, where he has been since 1985. He received a Ph.D. in Statistics from Stanford University in 1984. More Information Contact conald@cs.cmu.edu for more information The conference is sponsored by CMU's newly created Center for Automated Learning and Discovery. |
