Domain Adaptation Theory, Levgen, Redko

Domain Adaptation Theory: Available Theoretical Results gives the current state-of-the-art results on transfer learning, with a particular focus on domain adaptation from a theoretical point-of-view. The book begins with a brief overview of the most popular concepts used to provide generalization guarantees, and includes sections on Vapnik-Chervonenkis (VC), Rademacher, PAC-Bayesian, Robustness and Stability based bounds. In addition, the book explains the domain adaptation problem and describes the four major families of theoretical results that exist in the literature, including the Divergence based bounds. Next, PAC-Bayesian bounds are discussed, including the original PAC-Bayesian bounds for domain adaptation and their updated version.

This part of the book is followed by two sections presenting generalization guarantees based on the robustness and stability properties of the learning algorithm.

• Gives an overview of current results on transfer learning
• Focuses on the adaptation of the field from a theoretical point-of-view
• Describes four major families of theoretical results in the literature
• Summarizes the main existing results in the field of adaptation of the field
• Provides tips for future research