2 citations · 3 across the 6 of their papers we have counts for
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math.NA2023
Distributed Uncertainty Quantification of Kernel Interpolation on Spheres
Shao-Bo Lin, Xingping Sun, Di Wang
For radial basis function (RBF) kernel interpolation of scattered data, Schaback in 1995 proved that the attainable approximation error and the condition number of the underlying i…
cs.LG2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Di Wang, Xiaotong Liu, Shao-Bo Lin +1
Data silos, mainly caused by privacy and interoperability, significantly constrain collaborations among different organizations with similar data for the same purpose. Distributed…
cs.LG2023★ 2 cited
Sketching with Spherical Designs for Noisy Data Fitting on Spheres
Shao-Bo Lin, Di Wang, Ding-Xuan Zhou
This paper proposes a sketching strategy based on spherical designs, which is applied to the classical spherical basis function approach for massive spherical data fitting. We cond…