Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
Aryan DeshwalSebastian AmentMaximilian BalandatEytan BakshyJanardhan Rao DoppaDavid ErikssonPublished in: CoRR (2023)
Keyphrases
- high dimensional
- low dimensional
- low dimensional spaces
- dimensionality reduction
- manifold learning
- efficient optimization
- high dimensional data
- optimization algorithm
- vector space
- similarity search
- multi dimensional
- data points
- latent space
- optimization method
- optimization process
- metric space
- information retrieval
- bayesian networks
- hilbert space
- constrained optimization
- optimization methods
- input space
- high dimensionality
- optimization problems
- maximum entropy
- noisy data
- euclidean space
- global optimization
- gaussian processes
- sparse data
- string matching
- principal component analysis
- nearest neighbor
- feature space