- Goal-Directed Inductive Matrix Completion (pdf, slides, software)
S. Si, K. Chiang, C. Hsieh, N. Rao, I. Dhillon.
In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1165–1174, August 2016. (Oral) - Computationally Efficient Nystrom Approximation using Fast Transforms (pdf, slides, software)
S. Si, C. Hsieh, I. Dhillon.
In International Conference on Machine Learning (ICML), pp. 2655-2663, June 2016. - Fast Prediction for Large-Scale Kernel Machines (pdf, software)
C. Hsieh, S. Si, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 3689-3697, December 2014. - Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space (pdf, software)
I. Yen, T. Lin, S. Lin, P. Ravikumar, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 2456-2464, December 2014. - A Divide-and-Conquer Solver for Kernel Support Vector Machines (pdf, software, code)
C. Hsieh, S. Si, I. Dhillon.
In International Conference on Machine Learning (ICML), pp. 566-574, June 2014. - Memory Efficient Kernel Approximation (pdf, slides, software, code)
S. Si, C. Hsieh, I. Dhillon.
In International Conference on Machine Learning (ICML), pp. 701-709, June 2014. - 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. - 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. - 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. - 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.)