The Behavior and Convergence of Local Bayesian Optimization.
Kaiwen WuKyurae KimRoman GarnettJacob GardnerPublished in: NeurIPS (2023)
Keyphrases
- evolutionary multiobjective
- global convergence
- faster convergence
- optimization problems
- optimization algorithm
- neural network
- optimization model
- bayesian networks
- data driven
- behavior analysis
- global optimization
- initial conditions
- efficient optimization
- quasi newton
- discrete optimization
- constrained optimization
- optimization methods
- monte carlo sampling
- number of iterations required
- multi agent
- optimization strategies
- stochastic gradient
- optimization process
- quadratic programming
- database
- global optimum
- posterior distribution
- bayesian inference
- convergence rate
- maximum likelihood
- data sets