Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
Aryan DeshwalJanardhan Rao DoppaPublished in: CoRR (2021)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- low dimensional
- latent variables
- feature space
- manifold learning
- dimensionality reduction
- lower dimensional
- parameter space
- probabilistic latent semantic analysis
- gaussian process latent variable models
- generative model
- high dimensional
- high dimensional data
- kernel function
- topic models
- bayesian inference
- visual features
- high dimensional spaces
- training data
- data sets