Saarland University, Machine Learning Group, Fak. MI - Mathematik und Informatik, Campus E1 1, 66123 Saarbrücken, Germany
Faculty of Mathematics and Computer Science,
Building E 1 1, Room 229
Universität des Saarlandes
Postfach 15 11 50
D - 66041 Saarbrücken
phone: +49 (0) 681 302 57324
I joined Prof. Hein's machine learning group as a postdoctoral researcher in August 2014. I received my Ph.D. in Computer Science from IIT Bombay. My thesis titled "Learning Kernels for Multiple Predictive Tasks" won the best doctoral dissertation award in XRCI Open'15. I did my B.Tech. in Computer Science from IIT Bombay in 2009.
My research is primarily in Machine Learning and Optimization. My current work focuses on kernel learning under various setups such as Multiple Kernel Learning, Multi-task Learning and Rule Learning.
Pratik Jawanpuria, J. Saketha Nath and Ganesh Ramakrishnan. Generalized Hierarchical Kernel Learning. JMLR 2015 CODE
Pratik Jawanpuria, Manik Varma and J. Saketha Nath. On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML 2014 PDF
Pratik Jawanpuria and J. Saketha Nath. A Convex Feature Learning Formulation for Latent Task Structure Discovery. ICML 2012 PDF Supplementary CODE
Pratik Jawanpuria, J. Saketha Nath and Ganesh Ramakrishnan. Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML 2011 PDF Supplementary CODE
Pratik Jawanpuria and J. Saketha Nath. Multi-task Multiple Kernel Learning. SDM 2011. PDF