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Title | Papers and Talks by Ken |
Description | Papers and Talks by Kenneth L. Papers and Talks by Kenneth L. Clarkson Show all abstracts Hide all demos This document is more effectively viewed in Mozilla Firefox, where some "demos" |
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Papers and Talks by Kenneth L. Clarkson Show all abstracts Hide all demos This document is more effectively viewed in Mozilla Firefox, where some "demos" are included; also, the math may need the MathPlayer plugin to be rendered Sharper bounds for regularized data fitting . with Haim Avron and David P. Woodruff. In RANDOM ’17: 21st International Workshop on Randomization and Computation , 2017. bib abstract The technique of matrix sketching, such as the use of random projections, has been shown in recent years to be a powerful tool for accelerating many important statistical learning techniques. Research has so far focused largely on using sketching for the ``vanilla’’ un-regularized versions of these techniques. Here we study sketching methods for regularized variants of linear regression, low rank approximations, and canonical correlation analysis. We study regularization both in a fairly broad setting, and in the specific context of the popular and widely used technique of ridge |
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