KOBO learns a continuous latent space of GP kernels with a VAE and optimizes kernel choice inside that space, reducing the number of function evaluations needed to reach the optimum.
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Kernel Learning for Sample Constrained Black-Box Optimization
KOBO learns a continuous latent space of GP kernels with a VAE and optimizes kernel choice inside that space, reducing the number of function evaluations needed to reach the optimum.