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by ced 3754 days ago
having probabilistic guarantees on your out of sample results as well as sample complexity, no matter the underlying distribution

What technique are you referring to?

1 comments

Using concentration inequalities on Lipschitz convex learning algorithms to derive generalizing bounds. The seminal papers for this would be Stability and Generalization by Bousquet and Elisseef (2002), or those by Shalev Schwartz.