Reference Summary: David Woodruff presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, March 6, 2014. We improve the running times of algorithms for least squares regression and low-rank approximation to account for the
Input Sparsity And Hardness For Linear Algebra Problems -
David Woodruff presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, March 6, 2014. We improve the running times of algorithms for least squares regression and low-rank approximation to account for the Michael Mahoney, Stanford University Succinct Data Representations and Applications ...
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- David Woodruff presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, March 6, 2014.
- We improve the running times of algorithms for least squares regression and low-rank approximation to account for the
- Michael Mahoney, Stanford University Succinct Data Representations and Applications ...
- In this video, we talk about optimizing quadratic forms subject to the constraint that
- David Woodruff, IBM Almaden Computational Complexity of Low-Polynomial Time
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