Inderjit S. Dhillon's Talks Selected Talks

  • Machine Learning with Bregman Divergences [pdf]
  • SIAG/LA Prize Talk: Orthogonal Eigenvectors and Relative Gaps [pdf]
  • Low-Rank Kernel Learning with Bregman Matrix Divergences [pdf (short version)] [pdf (longer version)]
  • Normalized Cuts without Eigenvectors: A Multilevel Approach [pdf]
  • Matrix Nearness Problems Using Bregman Divergences [pdf]
  • Fast Eigenvalue/Eigenvector Computation for Dense Symmetric Matrices [pdf]
  • Inverse Eigenvalue Problems in Wireless Communications [pdf]
  • Information Theoretic Clustering, Co-clustering and Matrix Approximations [powerpoint]
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Department of Computer Sciences University of Texas at Austin