Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning.
HyunJae LeeGihyeon LeeJunhwan KimSungjun ChoDohyun KimDonggeun YooPublished in: WACV (2023)
Keyphrases
- learning rate
- convergence rate
- learning algorithm
- error function
- hidden layer
- convergence speed
- adaptive learning rate
- convergence theorem
- multilayer neural networks
- rapid convergence
- activation function
- optimization algorithm
- gaussian processes
- model selection
- global optimization
- optimization method
- global convergence
- optimization problems
- weight vector
- quadratic programming
- cross validation
- multi objective