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stat.ML2024★ 1 cited
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
John Joshua Miller, Simon Mak
The optimization of a black-box simulator over control parameters arises in a myriad of scientific applications. In such applications, the simulator often takes the fo…
stat.ML2023★ 1 cited
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
Kevin Li, Max Balakirsky, Simon Mak
Fourier feature approximations have been successfully applied in the literature for scalable Gaussian Process (GP) regression. In particular, Quadrature Fourier Features (QFF) deri…
stat.ML2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
Tao Tang, Simon Mak, David Dunson
In many areas of science and engineering, computer simulations are widely used as proxies for physical experiments, which can be infeasible or unethical. Such simulations can often…