Tighter Information-Theoretic Generalization Bounds from SupersamplesDownload PDFOpen Website

Published: 2023, Last Modified: 29 Sept 2023ICML 2023Readers: Everyone
Abstract: In this work, we present a variety of novel information-theoretic generalization bounds for learning algorithms, from the supersample setting of Steinke & Zakynthinou (2020)—the setting of the “con...
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