82 citations · 359 across the 49 of their papers we have counts for
Showing 2016 · cs.DSShow all
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cs.DS2016★ 3 cited
Sharper Bounds for Regularized Data Fitting
Haim Avron, Kenneth L. Clarkson, David P. Woodruff
We study matrix sketching methods for regularized variants of linear regression, low rank approximation, and canonical correlation analysis. Our main focus is on sketching techniqu…
cs.DS2016★ 11 cited
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations
Insu Han, Dmitry Malioutov, Haim Avron +1
Computation of the trace of a matrix function plays an important role in many scientific computing applications, including applications in machine learning, computational physics (…