How do SGD hyperparameters in natural training affect adversarial robustness?
Sandesh KamathAmit DeshpandeK. V. SubrahmanyamPublished in: CoRR (2020)
Keyphrases
- hyperparameters
- model selection
- stochastic gradient descent
- cross validation
- regularization parameter
- bayesian framework
- closed form
- grid search
- support vector
- sample size
- random sampling
- bayesian inference
- prior information
- maximum a posteriori
- training set
- gaussian process
- em algorithm
- noise level
- incremental learning
- supervised learning
- gaussian processes
- multiscale
- incomplete data
- feature selection
- maximum likelihood
- least squares
- prior knowledge
- image processing