Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers.
Jaweria AmjadZhaoyan LyuMiguel R. D. RodriguesPublished in: EUSIPCO (2021)
Keyphrases
- generalization error
- learning algorithm
- neural network
- model selection
- cross validation
- back propagation
- learning machines
- active learning
- regression problems
- classification error
- upper bound
- training data
- sample complexity
- binary classification
- linear classifiers
- training error
- training set
- supervised learning
- expected error
- sample size
- algorithmic stability
- target function
- training algorithm
- uniform convergence
- machine learning
- neural nets
- learning problems
- maximum margin
- linear combination
- feed forward
- generalization error bounds
- support vector
- learning scheme
- machine learning algorithms
- conditional expectation
- artificial neural networks
- fuzzy logic
- training examples
- learning process
- reproducing kernel hilbert space
- generalization ability
- neural network model
- training process