Publications
2014
- Exponential Family Matrix Completion under Structural Constraint (pdf, software)
S. Gunasekar, P. Ravikumar, J. Ghosh.
In International Conference on Machine Learning (ICML), June 2014.
2009
- A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data (pdf, software)
M. Deodhar, G. Gupta, J. Ghosh, H. Cho, I. Dhillon.
In International Conference on Machine Learning (ICML), June 2009.
2008
- Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets (pdf, software)
M. Deodhar, H. Cho, G. Gupta, J. Ghosh, I. Dhillon.
In IEEE International Conference on Data Mining (ICDM), December 2008.
2007
- A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, D. Modha.
Journal of Machine Learning Research (JMLR) 8, pp. 1919-1986, August 2007.
2005
- Clustering with Bregman Divergences (pdf, software)
A. Banerjee, S. Merugu, I. Dhillon, J. Ghosh.
Journal of Machine Learning Research (JMLR) 6, pp. 1705-1749, October 2005. - Clustering on the Unit Hypersphere using von Mises-Fisher Distributions (pdf, software)
A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
Journal of Machine Learning Research (JMLR) 6, pp. 1345-1382, September 2005.
2004
- A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu.
In International Conference on Machine Learning (ICML), pp. 57-64, July 2004. - An Information Theoretic Analysis of Maximum Likelihood Mixture Estimation for Exponential Families (pdf, software)
A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu.
In International Conference on Machine Learning (ICML), July 2004. - Clustering with Bregman Divergences (pdf, software)
A. Banerjee, S. Merugu, I. Dhillon, J. Ghosh.
In SIAM International Conference on Data Mining (SDM), pp. 234-245, April 2004.
2003
- Generative Model-based Clustering of Directional Data (pdf, software)
A. Banerjee, I. Dhillon, J. Ghosh, S. Sra.
In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 19-28, August 2003.