Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound.
Dan NavonAlex M. BronsteinPublished in: CoRR (2022)
Keyphrases
- parameter tuning
- random search
- lower bound
- upper bound
- ink bleed
- simulated annealing
- search space
- parameter settings
- parameter optimization
- genetic algorithm
- objective function
- parameter estimation
- neural network
- worst case
- model selection
- optimal solution
- control system
- particle swarm optimization
- optimization algorithm
- pose estimation
- high dimensional
- motion planning
- search algorithm
- robust estimation