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Local Latent Space Bayesian Optimization over Structured Inputs.
Natalie Maus
Haydn Jones
Juston Moore
Matt J. Kusner
John Bradshaw
Jacob R. Gardner
Published in:
NeurIPS (2022)
Keyphrases
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latent space
gaussian processes
latent variables
low dimensional
dimensionality reduction
lower dimensional
bayesian networks
feature space
high dimensional
maximum likelihood
generative model
parameter space
keywords
manifold learning
gaussian process
gaussian process latent variable models