Brian J. Kulis | Center for Big Data Analytics

Publications

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.

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.

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.

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.

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.

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.

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.

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.)