Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery.
Minsu ChoMohammadreza SoltaniChinmay HegdePublished in: CoRR (2020)
Keyphrases
- neural network
- high dimensional
- genetic algorithm
- fuzzy logic
- global optimization
- multilayer perceptron
- optimization algorithm
- optimization process
- sparse pca
- gaussian processes
- constrained optimization
- fuzzy systems
- multi layer
- recurrent neural networks
- optimization method
- feed forward
- optimization methods
- neural nets
- hyperparameters
- self organizing maps
- cross validation
- regression model
- structured data
- back propagation
- joint optimization
- recovery algorithm
- pattern recognition