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.