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stat.ML2024
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression
Lu Zou, Liang Ding
Additive Gaussian Processes (GPs) are popular approaches for nonparametric feature selection. The common training method for these models is Bayesian Back-fitting. However, the con…
math.ST2024
Asymptotic Theory for Linear Functionals of Kernel Ridge Regression
Rui Tuo, Lu Zou
An asymptotic theory is established for linear functionals of the predictive function given by kernel ridge regression, when the reproducing kernel Hilbert space is equivalent to a…