Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty.
Yu InatsuShion TakenoHiroyuki HanadaKazuki IwataIchiro TakeuchiPublished in: AISTATS (2024)
Keyphrases
- risk measures
- multi objective
- bounding box
- optimization algorithm
- robust optimization
- multiple objectives
- portfolio optimization
- evolutionary algorithm
- multi objective optimization
- risk averse
- bi objective
- objective function
- genetic algorithm
- decision theory
- optimization problems
- optimization method
- stochastic programming
- portfolio selection
- mathematical programming
- bayesian networks
- test images
- target object
- nsga ii
- object segmentation
- pareto optimal
- particle filtering
- particle swarm optimization
- object classes
- image features
- optimization methods
- object categories
- region of interest
- linear program