
Publications
2012
- Metric and Kernel Learning using a Linear Transformation (pdf)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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.)