
Publications
2012
- A Non-monotonic Method for Large-scale Nonnegative Least Squares (pdf)
D. Kim, S. Sra, I. Dhillon.
Optimization Methods and Software, 2012.
2010
- Tackling Box-Constrained Optimization Via a New Projected Quasi-Newton Approach (pdf)
D. Kim, S. Sra, I. Dhillon.
SIAM Journal on Scientific Computing 30(6), pp. 3548-3563, December 2010. - A Scalable Trust-region Algorithm with Application to Mixed-Norm Regression (pdf)
D. Kim, S. Sra, I. Dhillon.
In International Conference on Machine Learning (ICML), pp. 519-526, June 2010.
2009
- A New Non-monotonic Algorithm for PET image reconstruction
S. Sra, D. Kim, I. Dhillon, B. Schölkopf.
In IEEE Medical Imaging Conference (MIC), October 2009. - Convex Perturbations for Scalable Semidefinite Programming (pdf)
B. Kulis, S. Sra, I. Dhillon.
In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2009.
2008
- The Metric Nearness Problem (pdf)
J. Brickell, I. Dhillon, S. Sra, J. Tropp.
SIAM Journal of Matrix Analysis and Applications (SIMAX) 30(1), pp. 375-396, April 2008. - Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem (pdf)
D. Kim, S. Sra, I. Dhillon.
Statistical Analysis and Data Mining 1(1), pp. 38-51, February 2008.
2007
- Information-Theoretic Metric Learning (pdf)
J. Davis, B. Kulis, P. Jain, S. Sra, I. Dhillon.
In International Conference on Machine Learning (ICML), June 2007. - Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem (pdf)
D. Kim, S. Sra, I. Dhillon.
In SIAM International Conference on Data Mining (SDM), pp. 343-354, April 2007.
2006
- Nonnegative Matrix Approximation: Algorithms and Applications (pdf)
S. Sra, I. Dhillon.
University of Texas Computer Science Technical Report (UTCS Technical Report) TR-06-27, June 2006.
2005
- Generalized Nonnegative Matrix Approximations with Bregman Divergences (pdf)
I. Dhillon, S. Sra.
In Neural Information Processing Systems (NIPS), pp. 283-290, December 2005. - Clustering on the Unit Hypersphere using von Mises-Fisher Distributions (pdf)
A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
Journal of Machine Learning Research (JMLR) 6, pp. 1345-1382, September 2005.
2004
- Triangle Fixing Algorithms for the Metric Nearness Problem (pdf)
I. Dhillon, S. Sra.
In Neural Information Processing Systems (NIPS), pp. 361-368, December 2004. - Minimum Sum-Squared Residue Co-clustering of Gene Expression Data (pdf)
H. Cho, I. Dhillon, Y. Guan, S. Sra.
In SIAM International Conference on Data Mining (SDM), pp. 114-125, April 2004.
2003
- Generative Model-based Clustering of Directional Data (pdf)
A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 19-28, August 2003. - Modeling data using Directional Distributions (pdf)
I. Dhillon, S. Sra.
University of Texas Computer Science Technical Report (UTCS Technical Report) TR-03-06, January 2003.