Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
Aryan DeshwalJanardhan Rao DoppaPublished in: NeurIPS (2021)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- feature space
- latent variables
- low dimensional
- generative model
- lower dimensional
- dimensionality reduction
- gaussian process latent variable models
- parameter space
- matrix factorization
- manifold learning
- high dimensional
- bayesian networks
- distance metric
- transfer learning
- maximum likelihood
- probabilistic latent semantic analysis
- pattern recognition
- original data
- closed form
- multi task
- gaussian mixture
- probabilistic model
- high dimensional spaces