Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms.
Fengxiang HeBohan WangDacheng TaoPublished in: UAI (2021)
Keyphrases
- generalization bounds
- differentially private
- generalization ability
- algorithmic stability
- learning algorithm
- learning problems
- learning theory
- data dependent
- vc dimension
- differential privacy
- upper bound
- learning machines
- kernel machines
- machine learning
- lower bound
- ranking algorithm
- statistical learning theory
- model selection
- linear classifiers
- generalization error
- ensemble learning
- learning tasks
- machine learning algorithms
- active learning
- support vector
- ensemble methods
- ranking functions
- supervised learning
- support vector machine
- reinforcement learning
- back propagation
- support vector machine svm
- training data
- inductive inference
- training samples