A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization.
Jeffrey PawlickQuanyan ZhuPublished in: CoRR (2017)
Keyphrases
- empirical risk minimization
- stackelberg game
- supply chain
- uniform convergence
- nash equilibrium
- statistical learning theory
- vc dimension
- markov random field
- empirical risk
- computationally tractable
- rates of convergence
- em algorithm
- generalization bounds
- closed form
- phase transition
- upper bound
- bayesian inference
- machine learning
- sufficient conditions
- decision making
- theoretical framework
- loss function
- knn