Welcome to Prateek Jain's web page
I am a fifth year Ph.D student at
University of Texas at Austin.
I am interested in machine learning, probablity and statistics in general. Prof. Inderjit Dhillon is my
advisor.
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- P. Jain, B. Kulis, J. V. Davis, I. S. Dhillon. Metric and Kernel Leraning using a Linear Transformation. Arxiv:0910.5932, 2009.
- R. Meka, P. Jain, I. S. Dhillon. Matrix Completion from Power-Law Distributed Samples. to appear in NIPS, 2009
- R. Meka, P. Jain, I. S. Dhillon. Guaranteed Rank Minimization via Singular Value Projection. Arxiv:0909.5457, 2009. source code
- B. Kulis, P. Jain, K. Grauman. Fast Image Search for Learned Metrics. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),2009.
- Z. Lu, P. Jain, I. S. Dhillon. Geometry aware Metric Learning. to appear in the International Conference on Machine Learning (ICML), 2009.
- P. Jain, A. Kapoor. Active Learning for Large Multi-class Problems. Proc. the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. source code
- P. Jain, B. Kulis, I. S. Dhillon, K. Grauman. Online Metric Learning and Fast Similarity Search. Proc. the Advances in Neural Information Processing Systems (NIPS), 2008. (oral presentation)(longer version)
- R. Meka, P. Jain, C. Caramanis, I. S. Dhillon. Rank Minimization via Online Learning. Proc. the International Conference on Machine Learning, 2008.
- P. Jain, B. Kulis, K. Grauman. Fast Image Search for Learned Metrics. accepted for oral presentation at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.(CVPR 2008 Best Student Paper
Award)
- P. Jain, R. Meka, I. S. Dhillon. Simultaneous Unsupervised Learning of Disparate Clusterings. Proc. the SIAM Conference on Data Mining, 2008. (Best Paper Runner-Up Award)
Invited to appear in a special issue of Statistical Analysis and Data Mining.
- P. Jain, B. Kulis, K. Grauman. Fast Similarity Search for Learned Metrics. UTCS Technical Report #TR-07-48, September, 2007.
- J. Davis, B. Kulis, P. Jain, S. Sra, I. Dhillon. Information-theoretic Metric Learning. Proc.
24th International Conference on Machine Learning, 2007. (ICML 2007 Student Paper
Award) source code
- P. Jain, B. Kulis, I. Dhillon. Online Linear Regression using Burg Entropy. UTCS
Technical Report #TR-07-08, February, 2007.
I can be reached at 
Contact Information:
Prateek Jain,
Department of Computer Science,
University of Texas at Austin,
1 University Station C0500,
Austin, TX -78712.