RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg 1 Sivaraman Balakrishnan 1 2 J. Zico Kolter 3 Zachary C. Lipton 1
Abstract ity of the hypothesis class. After fitting the model on the
To assess generalization, machine learning scien- available data, one can plug in the empirical risk to obtain
tists typically either (i) bound the generalization a guarantee on the true risk. The second approach, favored
gap and then (af ...


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