S. V. N. Vishwanathan
S. V. N. Vishwanathan
Associate Professor of Statistics
Associate Professor of Computer Science

Joined department: 2008

Education:
Ph.D., Machine Learning
Indian Institute of Science (2003)
M.E., Computer Science
Indian Institute of Science (2000)
B.E., Electronics
Maharaja Sayajirao University of Baroda (1998)

S. V. N. Vishwanathan is an Assistant Professor of Statistics and Computer Science with Statistics as his home department. His research focuses on machine learning with an emphasis on graphical models, structured prediction, kernel methods, and convex optimization. His work encompasses problems such as pattern recognition, OCR, bioinformatics, text analysis, and optimization. Vishwanathan earned his Ph.D. and M.E. in computer science from the Indian Institute of Science in 2002 and 2000, respectively, and a B.E. in electronics engineering from the M. S. University of Baroda. Prior to joining Purdue University Vishwanathan was a principal researcher in the Statistical Machine Learning program at NICTA with an adjunct appointment at the College of Engineering and Computer Science (CECS) at the Australian National University.

Selected Publications
Nan Ding and S. V. N. Vishwanathan, "t-logistic regression.", Advances in Neural Information Processing Systems 23, pp. 514--522, 2010.
Ankan Saha, S. V. N. Vishwanathan, and Xinhua Zhang., "New Approximation Algorithms for Minimum Enclosing Convex Shapes", ACM-SIAM Syposium on Discrete Algorithms (SODA), pp. 1146--1160, 2011.
Jin Yu, S. V. N. Vishwanathan, Simon Guenter, and Nicol N. Schraudolph., "A Quasi-Newton Approach to Nonsmooth Convex Optimization.", Journal of Machine Learning Research, 11:1201--1242, April 2010.
Last Updated: September 22, 2011 01:13pm
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