Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression.
Napsu KarmitsaSona TaheriKaisa JokiPauliina PaasivirtaAdil M. BagirovMarko M. MäkeläPublished in: Algorithms (2023)
Keyphrases
- neural network
- gaussian processes
- bilevel programming
- model selection
- mathematical programming
- regression model
- optimization problems
- gaussian process
- real world
- small scale
- neural network model
- pattern recognition
- optimization algorithm
- artificial neural networks
- constrained optimization
- regression analysis
- convex programming
- combinatorial optimization
- convex optimization
- support vector regression
- hyperparameters
- learning algorithm
- regression problems
- radial basis function network
- machine learning
- highly non linear