Advances in Domain Adaptation Theory
By 作者: Ievgen Redko - Emilie Morvant - Amaury Habrard - Marc Sebban - Younès Bennani
ISBN-10 书号: 178548236X
ISBN-13 书号: 9781785482366
Edition 版本: 1
Release Finelybook 出版日期: 2019-08-28
Pages 页数: (208 )
The Book Description robot was collected from Amazon and arranged by Finelybook
Advances in Domain Adaptation Theory gives current, state-of-the-art results on transfer learning, with a particular focus placed 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, including sections on Vapnik-Chervonenkis (VC), Rademacher, PAC-Bayesian, Robustness and Stability based bounds. In addition, the book explains 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.
Additional sections present generalization guarantees based on the robustness and stability properties of the learning algorithm.
Advances in Domain Adaptation Theory 9781785482366.pdf