Publications of Suvrit Sra

[Journal] [Conference] [Tech-Reports] [Talks/Reports/Misc]

Refereed Journal Articles

  1. The Metric Nearness Problem.
        by J. Brickell, I. S. Dhillon, S. Sra, and J. A. Tropp
        SIAM J. Matrix Anal. and Appl., April 2008
        Paper: [.pdf]
  2. Fast Projection-based Methods for the Least Squares Nonnegative Matrix Approximation Problem.
        by D. Kim, S. Sra, and I. S. Dhillon
        Invited paper in Statistical Analysis and Data Mining, Sep. 2007
        Paper: [.pdf]
  3. Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
        by A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra
        J. Mach. Learning Res. (JMLR), 6(Sep):1345--1382, 2005.
        Paper: [.pdf]

Refereed Conference Publications

  1. Block iterative algorithms for non-negative matrix approximation
        by S. Sra
        Accepted to ICDM 2008.
        Paper: TBA
  2. Information-theoretic Metric Learning
        by J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon
        ICML 2007 Best student paper award, Jun. 2007
        Paper: [.pdf]
  3. Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem
        by D. Kim, S. Sra and I. S. Dhillon
        SIAM Data Mining 2007, Apr. 2007 (Best of SDM award)
        Paper: [.pdf]
  4. Incremental Aspect Models for Mining Document Streams
        by A. Surendran and S. Sra
        PKDD 2006, Sep. 2006
        [.pdf]
  5. Efficient Large Scale Linear Programming Support Vector Machines
        by S. Sra
        ECML 2006, Sep. 2006
        Paper: [.pdf]
  6. Row-actions methods for compressed sensing
        S. Sra and J. A. Tropp
        ICASSP 2006, May 2006
        Paper: [.pdf]
  7. Generalized Nonnegative Matrix Approximations with Bregman Divergences
        by I. S. Dhillon and S. Sra
        NIPS 2005, Dec. 2005
        Paper: [.pdf]
  8. Triangle Fixing Algorithms for the Metric Nearness Problem
        I. S. Dhillon, S. Sra, and J. A. Tropp
        NIPS 2004, Dec. 2004
        Paper: [.pdf.gz]
  9. Minimum Sum-Squared Residue based clustering of Gene Expression Data
        by H. Cho, I. S. Dhillon, Y. Guan, and S. Sra
        SIAM Data Mining 2004, Apr. 2004
        Paper: [.pdf.gz]
  10. Generative Model-based Clustering of Directional Data
        by A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra
        SIGKDD 2003, Aug. 2003
        Paper: [.pdf.gz]

Submitted / Under Preparation

  1. Non-monotonic Poisson Likelihood Maximization for Image Reconstruction in Emission and Transmission Tomography
        by S. Sra, D. Kim, and B. Schölkopf
        Under preparation
  2. Multiplicative Update Algorithms for NNMA with Generalized Loss Functions.
        by S. Sra and I. S. Dhillon
        Under preparation
  3. A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I_s(x)
        by S. Sra
        Submitted. Sep 2008

Other refereed Articles

  1. Information-theoretic Metric Learning
        by J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon
        NIPS 2006 Workshop on learning to compare examples, Dec. 2006
        Paper: [.pdf]

Technical Reports

  1. Block iterative algorithms for non-negative matrix approximation
        by S. Sra
        MPI Technical Report #176.
        Paper: TBA
  2. A New Non-monotonic Gradient Projection Method for the Non-negative Least Squares Problem
        by D. Kim, S. Sra, and I. S. Dhillon
        Comp. Sci., Univ. of Texas at Austin, TR-08-28, Jun. 2008
        Paper: TBA
  3. Non-monotonic Poisson Likelihood Maximization
        S. Sra, D. Kim, and B. Schölkopf
        MPI TR #170, Jun. 2008
        Paper: TBA
  4. Scalable Semidefinite Programming using Convex Perturbations
        by B. Kulis, S. Sra, S. Jegelka, and I. S. Dhillon
        Comp. Sci., Univ. of Texas at Austin, TR-07-47, Sep. 2007
        Paper: [.pdf]
  5. A New Projected Quasi-Newton Approach for solving the Nonnegative Least-Squares Problem
        D. Kim, S. Sra, and I. S. Dhillon
        Comp. Sci., Univ. of Texas at Austin, TR-06-54, May 2007
        Paper: [.pdf]
  6. Modeling data using directional distributions: Part II
        S. Sra, P. Jain, and I. S. Dhillon
        Comp. Sci., Univ. of Texas at Austin, TR-07-05, Feb. 2007
        Paper: [.pdf]
  7. Nonnegative Matrix Approximation: Algorithms and Applications
        by S. Sra and I. S. Dhillon
        Comp. Sci., Univ. of Texas at Austin TR-06-27, Jun 2006
        Paper: [.pdf]
  8. Generalized Nonnegative Matrix Approximations using Bregman Divergences
        by I. S. Dhillon and S. Sra
        Comp. Sci., Univ. of Texas at Austin TR-05-31, Jun 2005
        Paper: [.pdf]
  9. Triangle Fixing Algorithms for the Metric Nearness Problem
        by I. S. Dhillon, S. Sra, and J. A. Tropp
        Comp. Sci., Univ. of Texas at Austin TR-04-22, Jun 2004
        Paper: [.pdf]
  10. The Metric Nearness Problem with Applications
        by I. S. Dhillon, S. Sra, and J. A. Tropp
        Comp. Sci., Univ. of Texas at Austin TR-03-23, July 2003
        Paper: [.ps.gz]
  11. Expectation Maximization for Clustering on Hyperspheres
        by A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra
        Comp. Sci., Univ. of Texas at Austin TR-03-07, Feb. 2003
        Paper: [.ps.gz]
  12. Modeling Data using Directional Distributions
    [Journal] [Conference] [Tech-Reports] [Talks/Reports/Misc]

    Unpublished

    1. Matrix Nearness Problems in Data Mining
      S. Sra. 1st March, 2007
      Slides: [PDF]
    2. Matrix differential calculus
      S. Sra. Nov, 2005
      Note: [.pdf.gz] [Abstract]
    3. Row-action methods and Bregman's algorithm
      S. Sra. Dec. 2004
      Slides: [.pdf]
    4. Interprocedural Constant Propagation
      S. Sra. Dec. 2002
      Report: [.ps.gz]
    5. Literature Mining in Bioinformatics
      S. Sra. Nov. 2001
      Report: [.ps.gz]
    6. Verification of Randomized Algorithms with ACL2
      S. Sra. Dec. 2001
      Report: [.ps.gz]
    7. Parallel Multi-dimensional search (data structures, BSP)
      S. Sra. May 2001
      Slides: [.ps.gz]
    8. A survey on Parallel multi-dimensional searching
      S. Sra. Apr. 2001
      Report: [.ps.gz]
    9. Reconciling simiplicity with efficiency in Parallel disks
      S. Sra. Feb. 2001
      Slides: [.pdf.gz]
    10. Are bitvectors optimal
      S. Sra. Sep. 2000
      Slides: [pdf.gz]]
    Suvrit Sra
    Last modified: Tue Sep 23 13:57:03 CEST 2008
        by I. S. Dhillon and S. Sra
        Comp. Sci., Univ. of Texas at Austin TR-03-06, Jan. 2003
        Paper: [.ps.gz]