De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.
Arindam BanerjeeTiancong ChenYingxue ZhouPublished in: CoRR (2020)
Keyphrases
- pac bayes
- risk bounds
- data dependent
- empirical risk minimization
- linear classifiers
- learning algorithm
- generalization bounds
- empirical risk
- statistical learning theory
- convex hull
- convex optimization
- stochastic processes
- vc dimension
- support vector
- convex sets
- training set
- generalization error
- generalization ability
- parameter free
- machine learning
- kernel machines
- hyperplane
- loss function