Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
Aryan DeshwalSebastian AmentMaximilian BalandatEytan BakshyJanardhan Rao DoppaDavid ErikssonPublished in: AISTATS (2023)
Keyphrases
- information retrieval
- high dimensional
- low dimensional
- low dimensional spaces
- dimensionality reduction
- latent space
- optimization problems
- efficient optimization
- optimization algorithm
- manifold learning
- global optimization
- high dimensional data
- query expansion
- vector space
- multi dimensional
- hilbert space
- nearest neighbor
- discrete data
- constrained optimization
- data points
- data sets
- high dimensional spaces
- optimization methods
- maximum likelihood
- bayesian networks
- relevance feedback