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Suvrit Sra: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]

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