Publications of Suvrit Sra

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

Journal Publications
The Metric Nearness Problem with Justin BrickellInderjit S. DhillonJoel A. Tropp SIAM J. Matrix Anal. (In Print). 2008 [PDF] [Abstract]
Fast Projection-based Methods for the Least Squares Nonnegative Matrix Approximation Problem with Dongmin KimInderjit S. Dhillon Invited paper in Statistical Analysis and Data Mining. Sep 2007 [PDF] [Abstract]
Multiplicative Update Algorithms for NNMA with Generalized Loss Functions with Inderjit S. Dhillon Under Revision. 2008 [NONE] [Abstract]
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions with Arindam BanerjeeInderjit S. DhillonJoydeep Ghosh JMLR. 6(Sep):1345--1382, 2005. [PDF] [Abstract]
Conference Publications
Information-theoretic Metric Learning with Jason V. DavisBrian KulisPrateek JainInderjit S. Dhillon ICML. Best student Paper Award.. June 2007 [PDF] [Abstract]
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem with Dongmin KimInderjit S. Dhillon SIAM Data Mining (SDM)
Distinguished student paper award.. April 2007
[PDF] [Abstract]
Incremental Aspect Models for Mining Document Streams with Arun C. Surendran PKDD 2006.. Sep 2006. Berlin, Germany. [PDF] [Abstract]
Efficient Large Scale Linear Programming Support Vector Machines Suvrit Sra ECML 2006. Sep 2006. Berlin, Germany. [PDF] [Abstract]
Row-actions methods for compressed sensing with Joel A. Tropp IEEE Conf. Acoustics Speech and. Signal Proc. (ICASSP'06). May 14-19 2006. Toulose France. [PDF] [Abstract]
Generalized Nonnegative Matrix Approximations with Bregman Divergences with Inderjit S. Dhillon NIPS'05. December 2005 [PDF] [Abstract]
Triangle Fixing Algorithms for the Metric Nearness Problem with Inderjit S. DhillonJoel A. Tropp NIPS'04. December 2004 [PDF] [Abstract]
Minimum Sum-Squared Residue based clustering of Gene Expression Data with Hyuk ChoInderjit S. DhillonYuqiang Guan SIAM Data Mining (SDM'04).. April 2004. [PDF/GZ] [Abstract]
Generative Model-based Clustering of Directional Data with Arindam BanerjeeInderjit S. DhillonJoydeep Ghosh KDD 2003.. August, 2003. Washington DC, USA. [PDF/GZ] [Abstract]
Workshops & Technical Reports
Information-theoretic Metric Learning with Jason V. DavisBrian KulisInderjit S. Dhillon NIPS Workshop on Learning to Compare Examples.. Dec 2006 [PDF] [Abstract]
Nonnegative Matrix Approximation: Algorithms and Applications with Inderjit S. Dhillon Computer Sciences, Univ. of Texas at Austin. May 2006. [Coming Up] [Abstract]
A New Projected Quasi-Newton Approach for the Nonnegative Least with Dongmin KimInderjit S. Dhillon Computer Sciences, Univ. of Texas at Austin. December 2006 [[COMING UP]] [Abstract]
Generalized Nonnegative Matrix Approximations using Bregman Divergences with Inderjit S. Dhillon Computer Sciences, Univ. of Texas at Austin. June 2005 [[COMING UP]] [Abstract]
Triangle Fixing Algorithms for the Metric Nearness Problem with Inderjit S. DhillonJoel A. Tropp Computer Sciences, Univ. of Texas at Austin. 27 June 2004 [PDF] [Abstract]
The Metric Nearness Problem with Applications with Inderjit S. DhillonJoel A. Tropp Computer Sciences, Univ. of Texas at Austin. 8 June 2003 [PS.GZ] [Abstract]
Expectation Maximization for Clustering on Hyperspheres with Arindam BanerjeeInderjit S. DhillonJoydeep Ghosh Computer Sciences, Univ. of Texas at Austin. February 2003 [PS/GZ] [Abstract]
Modeling Data using Directional Distributions with Inderjit S. Dhillon Computer Sciences, Univ. of Texas at Austin. January 2003 [PS/GZ] [Abstract]
Reports/Talks/Misc
1. Matrix Nearness Problems in Data Mining
   Suvrit Sra
   Univ. of Texas at Austin    1st March, 2007
    [PDF]     [Abstract]
2. Matrix differential calculus
   Suvrit Sra
   Univ. of Texas at Austin    Nov, 2005
    [PDF]     [Abstract]
3. Row-action methods and Bregman's algorithm
   Suvrit Sra
   Talk    Dec, 2004
    [PDF]     [Abstract]
4. Interprocedural Constant Propagation
   Suvrit Sra
   Report    Dec, 2002
    [PSGZ]     [Abstract]
5. Literature Mining in Bioinformatics
   Suvrit Sra
   Project Report    Nov/Dec 2001
    [PSGZ]     [Abstract]
6. Verification of Randomized Algorithms with ACL2
   Suvrit Sra
   Report    Dec 2001
    [PSGZ]     [Abstract]
7. Parallel Multi-dimensional search (data structures, BSP)
   Suvrit Sra
   Talk    May 2001
    [PSGZ]     [Abstract]
8. A survey on Parallel multi-dimensional searching
   Suvrit Sra
   Talk    Apr 2001
    [PSGZ]     [Abstract]
9. Reconciling simiplicity with efficiency in Parallel disks
   Suvrit Sra
   Talk    Feb 2001
    [PDFGZ]     [Abstract]
10. Are bitvectors optimal
   Suvrit Sra
   Talk    Sep 2000
    [PDFGZ]     [Abstract]

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


Suvrit Sra
Created: Thu Apr 24 10:08:25 CEST 2008    by ./pub2html.pl --file pubs.txt --out=HTML ; PUB2HTML Version: 0.05.