1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.NA2025
A Constrained Multi-Fidelity Bayesian Optimization Method
Jingyi Wang, Nai-Yuan Chiang, Tucker Hartland +3
Recently, multi-fidelity Bayesian optimization (MFBO) has been successfully applied to many engineering design optimization problems, where the cost of high-fidelity simulations an…
math.OC2024★ 1 cited
Constrained Bayesian optimization with merit functions
J. Wang, C. G. Petra, J. L. Peterson
Bayesian optimization is a powerful optimization tool for problems where native first-order derivatives are unavailable. Recently, constrained Bayesian optimization (CBO) has been…
physics.plasm-ph2023
A multifidelity Bayesian optimization method for inertial confinement fusion design
J. Wang, N. Chiang, A. Gillette +1
Due to their cost, experiments for inertial confinement fusion (ICF) heavily rely on numerical simulations to guide design. As simulation technology progresses, so too can the fide…