A Novel Regression Loss for Non-Parametric Uncertainty Optimization.
Joachim SickingMaram AkilaMaximilian PintzTim WirtzAsja FischerStefan WrobelPublished in: CoRR (2021)
Keyphrases
- robust optimization
- gaussian processes
- regression model
- optimization algorithm
- global optimization
- discrete optimization
- optimization process
- linear regression
- optimization method
- optimization problems
- regression method
- machine learning
- model selection
- optimization methods
- optimization model
- constrained optimization
- belief functions
- probability theory
- simple linear
- decision theory
- uncertain data
- support vector regression
- database
- probabilistic model
- evolutionary algorithm
- bayesian networks
- decision trees
- neural network