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Inderjit S. Dhillon's Talks
Selected Talks
- Fast and Accurate Low Rank Approximation of Massive Graphs
[pdf]
- Guaranteed Rank Minimization with Singular Value Projection
[pdf]
- Matrix Computations in Machine Learning
[pdf]
- The LogDet Divergence and its Applications
[pdf]
- Metric and Kernel Learning
[pdf]
- 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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