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Quantum Gaussian Process Regression for Bayesian Optimization.

Frederic RappMarco Roth
Published in: CoRR (2023)
Keyphrases
  • gaussian process regression
  • gaussian processes
  • gaussian process
  • covariance function
  • maximum likelihood
  • bayesian inference
  • markov random field
  • model selection
  • regression model
  • hyperparameters