2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Component-based Sketching for Deep ReLU Nets
Di Wang, Shao-Bo Lin, Deyu Meng +1
Deep learning has made profound impacts in the domains of data mining and AI, distinguished by the groundbreaking achievements in numerous real-world applications and the innovativ…
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data
Xiaotong Liu, Jinxin Wang, Di Wang +1
Spherical radial-basis-based kernel interpolation abounds in image sciences including geophysical image reconstruction, climate trends description and image rendering due to its ex…
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…
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…