Adversarial Risk Bounds for Neural Networks through Sparsity based Compression.
Emilio Rafael BaldaArash BehboodiNiklas KoepRudolf MatharPublished in: CoRR (2019)
Keyphrases
- risk bounds
- neural network
- data dependent
- empirical risk minimization
- learning algorithm
- vc dimension
- back propagation
- stochastic processes
- compression algorithm
- compression scheme
- statistical learning theory
- high dimensional
- compression ratio
- image compression
- data compression
- parameter free
- soft computing
- training data