Publications

2012

• Metric and Kernel Learning using a Linear Transformation (pdf, software)
  P. Jain, B. Kulis, J. Davis, I. Dhillon.
  Journal of Machine Learning Research (JMLR) 13, pp. 519-547, March 2012.

2010

• Inductive Regularized Learning of Kernel Functions (pdf, software)
  P. Jain, B. Kulis, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 946-954, December 2010.

2009

• Convex Perturbations for Scalable Semidefinite Programming (pdf, software)
  B. Kulis, S. Sra, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2009.
• Low-Rank Kernel Learning with Bregman Matrix Divergences (pdf, software)
  B. Kulis, M. Sustik, I. Dhillon.
  Journal of Machine Learning Research (JMLR) 10, pp. 341-376, February 2009.
• Semi-Supervised Graph Clustering: A Kernel Approach (pdf, software)
  B. Kulis, S. Basu, I. Dhillon, R. Mooney.
  Machine Learning 74(1), pp. 1-22, January 2009.

2008

• Online Metric Learning and Fast Similarity Search (pdf, software)
  P. Jain, B. Kulis, I. Dhillon, K. Grauman.
  In Neural Information Processing Systems (NIPS), December 2008.

2007

• Weighted Graph Cuts without Eigenvectors: A Multilevel Approach (pdf, software)
  I. Dhillon, Y. Guan, B. Kulis.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 29(11), pp. 1944-1957, November 2007.
• Information-Theoretic Metric Learning (pdf, software)
  J. Davis, B. Kulis, P. Jain, S. Sra, I. Dhillon.
  In International Conference on Machine Learning (ICML), June 2007.
• Online Linear Regression using Burg Entropy (pdf, software)
  P. Jain, B. Kulis, I. Dhillon.
  University of Texas Computer Science Technical Report (UTCS Technical Report) TR-07-08, February 2007.

2006

• Learning Low-Rank Kernel Matrices (pdf, software)
  B. Kulis, M. Sustik, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 505-512, July 2006.

2005

• A Fast Kernel-based Multilevel Algorithm for Graph Clustering (pdf, software)
  I. Dhillon, B. Kulis.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 629-634, August 2005.
• Semi-supervised Graph Clustering: A Kernel Approach (pdf, software)
  B. Kulis, S. Basu, I. Dhillon, R. Mooney.
  In International Conference on Machine Learning (ICML), pp. 457-464, July 2005.

2004

• Kernel k-means, Spectral Clustering and Normalized Cuts (pdf, software)
  I. Dhillon, Y. Guan, B. Kulis.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 551-556, August 2004.
  (A longer version appears as UTCS Technical Report #TR-04-25, June 30, 2004.)