Hi all

I’m looking for a good textbook, or a review paper or tutorial on advances in generalization theory and learnability in the last 20 years, i.e what has happened since Vapnik’s structural risk minimization and Schapire’s boosting?

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A lot seems to have gone on in terms regularization and resampling techniques, but I can’t seem to find much in terms of actual learning theory.