12 citations · 13 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 1 cited
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…
stat.ML2021★ 12 cited
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Despite their widespread success, the application of deep neural networks to functional data remains scarce today. The infinite dimensionality of functional data means standard lea…
math.PR2018
A Sharp Lower-tail Bound for Gaussian Maxima with Application to Bootstrap Methods in High Dimensions
Miles E. Lopes, Junwen Yao
Although there is an extensive literature on the maxima of Gaussian processes, there are relatively few non-asymptotic bounds on their lower-tail probabilities. The aim of this pap…