Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms.
Fengxiang HeBohan WangDacheng TaoPublished in: CoRR (2020)
Keyphrases
- generalization bounds
- differentially private
- generalization ability
- algorithmic stability
- learning problems
- learning algorithm
- learning theory
- data dependent
- differential privacy
- upper bound
- vc dimension
- learning machines
- kernel machines
- statistical learning theory
- machine learning
- model selection
- lower bound
- learning tasks
- generalization error
- ranking algorithm
- active learning
- kernel methods
- sample complexity
- ranking functions
- reinforcement learning
- ensemble learning
- linear classifiers
- machine learning algorithms
- training data
- bp neural network
- supervised learning
- support vector machine svm
- ensemble methods
- transfer learning
- back propagation
- machine learning methods
- training algorithm
- support vector
- web pages
- support vector machine