Publications by type

Journal Papers

• B. Kulis, M. Sustik, I. Dhillon. Low-Rank Kernel Learning with Bregman Matrix Divergences. Submitted for publication, 2007.

• B. Kulis, S. Basu, I. Dhillon, R. Mooney. Semi-supervised Graph Clustering: A Kernel Approach. Machine Learning, to appear, 2008.

• I. Dhillon, Y. Guan, B. Kulis. Weighted Graph Cuts without Eigenvectors: A Multilevel Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 11, pp. 1944-1957, 2007.

• J. Hopcroft, O. Khan, B. Kulis, B. Selman. Tracking Evolving Communities in Large Linked Networks. Proc. of the Natl. Academy of Sciences, Vol. 101, pp. 5249-5253, April, 2004.

Conference Papers

• P. Jain, B. Kulis, K. Grauman. Fast Image Search for Learned Metrics. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. (CVPR 2008 Best Student Paper Award)

• J. Davis, B. Kulis, P. Jain, S. Sra, I. Dhillon. Information-theoretic Metric Learning. Proc. 24th International Conference on Machine Learning, 2007. (ICML 2007 Best Student Paper Award)

• B. Kulis, A. Surendran, J. Platt. Fast Low-rank Semidefinite Programming for Embedding and Clustering. Proc. 11th Intl. AISTATS Conference, 2007.

• B. Kulis, M. Sustik, I. Dhillon. Learning Low-Rank Kernel Matrices. Proc. 23rd International Conference on Machine Learning, 2006.

• I. Dhillon, Y. Guan, B. Kulis. A Fast Kernel-based Multilevel Algorithm for Graph Clustering. Proc. 11th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2005.

• B. Kulis, S. Basu, I. Dhillon, R. Mooney. Semi-supervised Graph Clustering: A Kernel Approach. Proc. 22nd International Conference on Machine Learning, 2005. (ICML 2005 Best Student Paper Award)

• I. Dhillon, Y. Guan, B. Kulis. Kernel k-means, Spectral Clustering, and Normalized Cuts. Proc. 10th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2004.

• J. Hopcroft, O. Khan, B. Kulis, B. Selman. Natural Communities in Large Linked Networks. Proc. 9th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2003.

Workshop Papers and Technical Reports

• P. Jain, B. Kulis, K. Grauman. Fast Similarity Search for Learned Metrics. UTCS Technical Report #TR-07-48, September, 2007.

• B. Kulis, S. Sra, S. Jegelka, I. Dhillon. Scalable Semidefinite Programming using Convex Perturbations. UTCS Technical Report #TR-07-47, September, 2007.

• P. Jain, B. Kulis, I. Dhillon. Online Linear Regression using Burg Entropy. UTCS Technical Report #TR-07-08, February, 2007.

• J. Davis, B. Kulis, S. Sra, I. Dhillon. Information-theoretic Metric Learning. NIPS 2006 Workshop on Learning to Compare Examples, 2006.

• I. Dhillon, Y. Guan, B. Kulis. A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts. UTCS Technical Report #TR-04-25, July, 2004.