7 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.ML2011★ 4 cited
Spectral approximations in machine learning
Darren Homrighausen, Daniel J. McDonald
In many areas of machine learning, it becomes necessary to find the eigenvector decompositions of large matrices. We discuss two methods for reducing the computational burden of sp…
stat.ML2011★ 7 cited
Generalization error bounds for stationary autoregressive models
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark Schervish
We derive generalization error bounds for stationary univariate autoregressive (AR) models. We show that imposing stationarity is enough to control the Gaussian complexity without…