Sue Ann Hong
Ph.D. student
Computer Science Department
Carnegie Mellon University
5000 Forbes Ave., Pittsburgh, PA 15213
Wean 4112
(412) 268 3047
sahong [at] cs.cmu.edu
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Sue Ann Hong Ph.D. student Wean 4112 |
I'm a third year PhD student playing with machine learning algorithms. My new favorites are no-regret algorithms, and I'm dabbling in game theory. I'm also interested in other flavors of online algorithms as well as stochastic / online optimization. I can't say I can leave other aspects of learning behind, though. Ultimately, it'd be nice to save the world with machine learning / game theory (e.g. solving environmental problems, designing public policy, eliminating inefficiency and lack of rationality wherever possible).
My advisor is Tom Mitchell. Recently, we have been working on reading the web and co-training-style semi-supervised learning algorithms.
Courses: Optimization, Statistical Machine Learning, Probabilistic Graphical Models (very enjoyable, highly recommended), Intermediate Statistics, Machine Learning Theory, Machine Learning, Read the Web (building a system for constantly-improving information extraction using bootstrap learning), Spectral Graph Theory, etc., Graduate Algorithms, Optimizing Compilers (or pessimizing them while trying; our project), Type Systems, Computer Networks.I was a teaching assistant for Graduate Machine Learning, fall of 2007.