Generalization Bounds

Generalization Bounds

Perspectives from Information Theory and PAC-Bayes

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Artificial intelligence and machine learning have emerged as driving forces behind transformative advancements in various fields, and have become increasingly pervasive in many industries and daily life. As these technologies continue to gain momentum, so does the need to develop a deeper understanding of their underlying principles, capabilities, and limitations. In this monograph, the authors focus on the theory of machine learning and statistical learning theory, with a particular focus on the generalization capabilities of learning algorithms.Part I covers the foundations of information-th...