I am a Computer Science PhD student (2007 - ?) at School of Computing, University of Utah. My advisor is Dr. Hal Daumé III. My research interests are in machine learning and computational statistics, in particular -- Bayesian approaches (nonparametric Bayesian methods, approximate inference), inference in graphical models, structured prediction, and kernel methods. I am also interested in computational learning theory, online learning, and large-scale learning problems (large-scale optimization, and approximation algorithms for learning with high-dimensional data).
My current research is on sequential monte carlo methods and nonparametric Bayesian approaches. I also collaborate with Dr. Suresh Venkatasubramanian on streaming algorithms for large-scale learning problems.
I did my Bachelors in Computer Science and Engineering from IT-BHU, India. My undergraduate thesis was on skin classification and mean-shift based tracking using motion models.
Contact:
Piyush
Kumar Rai
School of Computing, Room #3190
50 S, Central Campus
Drive, University of Utah
Salt Lake City, Utah - 84112-9205
(Office: 4158A, Merrill Engineering Building)
