Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.
Alonso MarcoDominik BaumannPhilipp HennigSebastian TrimpePublished in: CoRR (2019)
Keyphrases
- gaussian processes
- regression model
- sparse bayesian learning
- global optimization
- bayesian networks
- monte carlo sampling
- optimization process
- optimization algorithm
- maximum likelihood
- optimization problems
- machine learning
- model selection
- linear regression
- gaussian process
- constrained optimization
- regression problems
- simple linear
- discrete optimization
- efficient optimization
- data driven
- optimization methods
- graphical models
- regression analysis
- support vector