49 citations · 103 across the 19 of their papers we have counts for
20 papers
Error Estimation for Random Fourier Features
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
Random Fourier Features (RFF) is among the most popular and broadly applicable approaches for scaling up kernel methods. In essence, RFF allows the user to avoid costly computation…
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software
Riley Murray, James Demmel, Michael W. Mahoney +10
Randomized numerical linear algebra - RandNLA, for short - concerns the use of randomization as a resource to develop improved algorithms for large-scale linear algebra computation…
A Bootstrap Method for Spectral Statistics in High-Dimensional Elliptical Models
Siyao Wang, Miles E. Lopes
Although there is an extensive literature on the eigenvalues of high-dimensional sample covariance matrices, much of it is specialized to independent components (IC) models -- in w…
Improved Rates of Bootstrap Approximation for the Operator Norm: A Coordinate-Free Approach
Miles E. Lopes
Let denote the sample covariance operator of centered i.i.d.~observations in a real separable Hilbert space, and let…
Randomized Algorithms for Scientific Computing (RASC)
Aydin Buluc, Tamara G. Kolda, Stefan M. Wild +16
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office o…
Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near Rates via Implicit Smoothing
Miles E. Lopes
Non-asymptotic bounds for Gaussian and bootstrap approximation have recently attracted significant interest in high-dimensional statistics. This paper studies Berry-Esseen bounds f…