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Publications of Author

1. Suvrit Sra
   Efficient Large Scale Linear Programming Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   ECML, 2006, pp:767-774 [Conf]
   
2. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
   Generative model-based clustering of directional data. [Citation Graph (0, 0)][DBLP]
   KDD, 2003, pp:19-28 [Conf]
   
3. Inderjit S. Dhillon, Suvrit Sra
   Generalized Nonnegative Matrix Approximations with Bregman Divergences. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
4. Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
   Triangle Fixing Algorithms for the Metric Nearness Problem. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
5. Arun C. Surendran, Suvrit Sra
   Incremental Aspect Models for Mining Document Streams. [Citation Graph (0, 0)][DBLP]
   PKDD, 2006, pp:633-640 [Conf]
   
6. Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra
   Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. [Citation Graph (0, 0)][DBLP]
   SDM, 2004, pp:- [Conf]
   
7. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
   Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2005, v:6, n:, pp:1345-1382 [Journal]
   
8. Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon
   Information-theoretic metric learning. [Citation Graph (0, 0)][DBLP]
   ICML, 2007, pp:209-216 [Conf]
   
9. Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
   Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. [Citation Graph (0, 0)][DBLP]
   SDM, 2007, pp:- [Conf]
   
10. 
    Approximation Algorithms for Tensor Clustering. [Citation Graph (, )][DBLP]
    
    
11. 
    Block-Iterative Algorithms for Non-negative Matrix Approximation. [Citation Graph (, )][DBLP]
    
    
12. 
    Workshop summary: Numerical mathematics in machine learning. [Citation Graph (, )][DBLP]
    
    
13. 
    A scalable trust-region algorithm with application to mixed-norm regression. [Citation Graph (, )][DBLP]
    
    
14. 
    Approximation Algorithms for Bregman Co-clustering and Tensor Clustering [Citation Graph (, )][DBLP]
    
    
15. 
    A Trivial Observation related to Sparse Recovery [Citation Graph (, )][DBLP]