3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.CO2016★ 1 cited
Numerical tolerance for spectral decompositions of random matrices
Avanti Athreya, Michael Kane, Bryan Lewis +5
We precisely quantify the impact of statistical error in the quality of a numerical approximation to a random matrix eigendecomposition, and under mild conditions, we use this to i…
stat.CO2015★ 3 cited
Efficient Thresholded Correlation using Truncated Singular Value Decomposition
James Baglama, Michael Kane, Bryan Lewis +1
Efficiently computing a subset of a correlation matrix consisting of values above a specified threshold is important to many practical applications. Real-world problems in genomics…
stat.ML2015
Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data
Michael J. Kane, Bryan Lewis, Sekhar Tatikonda +1
Linear regression models depend directly on the design matrix and its properties. Techniques that efficiently estimate model coefficients by partitioning rows of the design matrix…