1. Sorting out Lipschitz function approximation;Anil,2019
2. Radial Basis Functions: Theory and Implementations;Buhmann,2003
3. A likelihood-free inference framework for population genetic data using exchangeable neural networks;Chan,2018
4. Stochastic gradient Hamiltonian Monte Carlo;Chen,2014
5. DeepKriging: Spatially dependent deep neural networks for spatial prediction;Chen,2020