16 citations · 16 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 16 cited
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Samuel Daulton, Xingchen Wan, David Eriksson +3
Optimizing expensive-to-evaluate black-box functions of discrete (and potentially continuous) design parameters is a ubiquitous problem in scientific and engineering applications.…
stat.ML2018
Bayesian Optimization for Dynamic Problems
Favour M. Nyikosa, Michael A. Osborne, Stephen J. Roberts
We propose practical extensions to Bayesian optimization for solving dynamic problems. We model dynamic objective functions using spatiotemporal Gaussian process priors which captu…