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Local Latent Space Bayesian Optimization over Structured Inputs.
Natalie Maus
Haydn T. Jones
Juston S. Moore
Matt J. Kusner
John Bradshaw
Jacob R. Gardner
Published in:
CoRR (2022)
Keyphrases
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latent space
gaussian processes
latent variables
gaussian process
low dimensional
transfer learning
matrix factorization
bayesian networks
image retrieval
active learning
dimensionality reduction
data sets
generative model
high dimensional
bayesian inference
support vector
training data