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Can I read Variational Bayesian Learning Theory on EtoBox?
Variational Bayesian Learning Theory by Shin'ichi Nakajima, Kazuho Watanabe, Masashi Sugiyama, Shinichi Nakajima is a computer science book available to read on EtoBox.
What is Variational Bayesian Learning Theory about?
Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic th
Who reads Variational Bayesian Learning Theory?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Shin'ichi Nakajima, Kazuho Watanabe, Masashi Sugiyama, Shinichi Nakajima
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2019
- Language
- EN
- ISBN
- 9781316998311
- Category
- computer science
- Subjects
- Mathematics, Science, Physics
- Updated
- 2026-03-25
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