A mean-field stackelberg game approach for obfuscation adoption in empirical risk minimization.
Jeffrey PawlickQuanyan ZhuPublished in: GlobalSIP (2017)
Keyphrases
- empirical risk minimization
- stackelberg game
- supply chain
- nash equilibrium
- statistical learning theory
- uniform convergence
- empirical risk
- generalization bounds
- rates of convergence
- em algorithm
- markov random field
- computationally tractable
- vc dimension
- phase transition
- training data
- closed form
- inductive inference
- lower bound
- data sets
- game theory
- generalization ability
- bayesian inference
- supervised classification
- loss function
- nearest neighbor
- support vector machine
- active learning
- feature selection
- information retrieval
- machine learning