Bregman Divergence

• 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.
• Matrix Nearness Problems with Bregman Divergences (pdf, software)
  I. Dhillon, J. Tropp.
  SIAM Journal of Matrix Analysis and Applications (SIMAX) 29(4), pp. 1120-1146, November 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.
• Generalized Nonnegative Matrix Approximations with Bregman Divergences (pdf, software)
  I. Dhillon, S. Sra.
  In Neural Information Processing Systems (NIPS), pp. 283-290, December 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 with Entropy-like k-means Algorithms (pdf, software)
  M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan, J. Kogan.
  Grouping Multidimensional Data – Recent Advances in Clustering, pp. 127-160, January 2005.
• 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.
• Minimum Sum-Squared Residue Co-clustering of Gene Expression Data (pdf, software)
  H. Cho, I. Dhillon, Y. Guan, S. Sra.
  In SIAM International Conference on Data Mining (SDM), pp. 114-125, April 2004.
• A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification (pdf, software)
  I. Dhillon, S. Mallela, R. Kumar.
  Journal of Machine Learning Research (JMLR) 3, pp. 1265-1287, March 2003.
• Enhanced Word Clustering for Hierarchical Text Classification (pdf, software)
  I. Dhillon, S. Mallela, R. Kumar.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 2002.