A VAE-based latent-space Bayesian optimisation framework with Matérn-5/2 kernels and Sequential Domain Reduction solves more 100D benchmark problems than BO-SDR and REMBO in small numerical experiments.
Optimization resources: A collec- tion of software and resources for nonlinear optimization
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Dimensionality Reduction Techniques for Global Bayesian Optimisation
A VAE-based latent-space Bayesian optimisation framework with Matérn-5/2 kernels and Sequential Domain Reduction solves more 100D benchmark problems than BO-SDR and REMBO in small numerical experiments.