Inderjit Dhillon is an ACM, IEEE, SIAM, and AAAS fellow who is also Director of the Center for Big Data Analytics. His research interests are in machine learning, large-scale data analysis and bioinformatics. He is focused on developing novel algorithms that respect the underlying problem structure and are scalable to massive data sets. His work involves high-dimensional data analysis, divide-and-conquer methods for big data analytics, social network analysis, and predicting gene-disease associations.
H. Cho and I. S. Dhillon. July 2008. Co-clustering of Human Cancer Microarrays using Minimum Sum-Squared Residue Co-clustering. ransactions on Computational Biology and Bioinformatics .
J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. June 2007. Information-Theoretic Metric Learning. Proceedings of the Twenty-Fourth International Conference on Machine Learning.
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh. October 2005. Clustering with Bregman Divergences. Journal of Machine Learning Research .
P. Bientinesi, I.S. Dhillon, and R.A. van de Geijn. September 2005. A Parallel Eigensolver for Dense Symmetric Matrices based on Multiple Relatively Robust Representations. SIAM Journal on Scientific Computing.
I.S. Dhillon and B.N. Parlett. March 2004. Orthogonal Eigenvectors and Relative Gaps. SIAM Journal on Matrix Analysis and Applications.