1 citations · 2 across the 3 of their papers we have counts for
3 papers
math.ST2022
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
Yichen Zhu, Michele Peruzzi, Cheng Li +1
In geostatistical problems with massive sample size, Gaussian processes can be approximated using sparse directed acyclic graphs to achieve scalable computational complexity…
math.ST2022★ 1 cited
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Cheng Li, Saifei Sun, Yichen Zhu
Spatial Gaussian process regression models typically contain finite dimensional covariance parameters that need to be estimated from the data. We study the Bayesian estimation of c…
stat.ME2020★ 1 cited
Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization
Yichen Zhu, Cheng Li, David B. Dunson
Classification algorithms face difficulties when one or more classes have limited training data. We are particularly interested in classification trees, due to their interpretabili…