Wednesday, May 29
12:00 p.m. – 1:00 p.m.
Building 9, hall 1
The Machine Learning Hub presents Prof. Tong Zhang, professor of Computer Science and Mathematics at the Hong Kong University of Science and Technology. He will be presenting his paper: “Modern Techniques of Statistical Optimization for Machine Learning” on May 29 in Building 9, hall 1 from 12:00 p.m. to 1:00 p.m.
Abstract:
Many problems in machine learning rely on statistics and optimization. To solve these problems, new techniques are needed. I will show some of these new techniques through some machine learning problems I have recently worked on, such as nonconvex stochastic optimization, distributed training, adversarial attack, generative model, etc.
About the speaker:
Professor Zhang’s research interests are machine learning, big data and their applications; he obtained a Bachelor’s degree in Mathematics and Computer Science from Cornell University and a Ph.D. in Computer Science from Stanford University. Before joining HKUST, Tong Zhang was a professor at Rutgers University, and worked previously at IBM, Yahoo as research scientists, Baidu as the director of Big Data Lab, and Tencent as the founding director of AI Lab.
Tong Zhang was an ASA fellow and IMS fellow, and has served as the chair or area-chair in major machine learning conferences such as NIPS, ICML and COLT, and has served as associate editors in top machine learning journals such as PAMI, JMLR and Machine Learning Journal.
We are looking to seeing you there,
KAUST Machine Learning Hub
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