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stat.ML2023★ 9 cited
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
Akhil Vakayil, Roshan Joseph
In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling. Contrary to the global, and local approximations proposed in the literature to address th…
stat.ML2022★ 795 cited
Optimal Ratio for Data Splitting
V. Roshan Joseph
It is common to split a dataset into training and testing sets before fitting a statistical or machine learning model. However, there is no clear guidance on how much data should b…