[Colloquium] Machine Learning talk TODAY!!! Chong Wang presents "Probabilistic Modeling for Large-Scale Data Exploration" at 2:30 pm in Ryerson 251

[Natalie Cruz]

Bio:
Chong Wang is a project scientist in the Machine Learning Department,
Carnegie Mellon University, working with Eric Xing.  He received his
PhD from Princeton University in 2012, advised by David Blei. His
research lies in probabilistic graphical models and their applications
to real-world problems. He has won several awards on top machine
learning conferences, including KDD, AISTATS and NIPS. He received the
Google PhD Fellowship for machine learning and the Siebel Scholar
Fellowship.  His thesis was nominated for ACM Doctoral Dissertation
Award by Princeton University in 2012.



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