A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences.
Miguel González DuqueRichard MichaelSimon BartelsYevgen ZainchkovskyySøren HaubergWouter BoomsmaPublished in: CoRR (2024)
Keyphrases
- high dimensional
- continuous optimization
- data driven
- global optimization
- hidden markov models
- efficient optimization
- discrete data
- parameter space
- optimization method
- optimization algorithm
- maximum likelihood
- high dimensional problems
- discrete geometry
- bayesian networks
- similarity search
- sequential patterns
- decision variables
- high dimensional spaces
- long sequences
- constrained optimization
- monte carlo sampling
- posterior probability
- microarray data
- neural network
- high dimensional data
- optimization problems
- multi dimensional
- dimensionality reduction
- nearest neighbor
- feature space
- objective function
- real world