Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Interpolation models with multiple hyperparameters
Coaching variables for regression and classification
Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers
Statistical mechanical analysis of the dynamics of learning in perceptrons