Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime.
Hugo CuiBruno LoureiroFlorent KrzakalaLenka ZdeborováPublished in: NeurIPS (2021)
Keyphrases
- generalization error
- kernel regression
- noisy data
- model selection
- regression model
- cross validation
- training data
- active learning
- upper bound
- training set
- learning algorithm
- parameter optimization
- training error
- genetic algorithm
- nadaraya watson
- regression methods
- genetic algorithm ga
- evolutionary algorithm
- linear regression
- supervised learning
- sample size
- genetic programming
- differential evolution
- lower bound
- machine learning
- noisy images
- data sets
- feature vectors
- artificial neural networks
- high dimensional
- reinforcement learning