Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization.
Bahador RashidiKerrick JohnstonbaughChao GaoPublished in: AISTATS (2024)
Keyphrases
- high dimensional
- parameter space
- optimization process
- random sampling
- efficient optimization
- global optimization
- nearest neighbor
- low dimensional
- optimization algorithm
- similarity search
- constrained optimization
- maximum likelihood
- sequential monte carlo
- monte carlo
- high dimensional data
- active learning
- optimization problems
- optimization method
- high dimensionality
- data points
- optimization methods
- variable selection
- bayesian networks
- similarity measure
- face recognition
- high dimensional problems
- neural network
- data sets