Variational Bayesian Learning Theory - Shinichi Nakajima,Kazuho Watanabe,Masashi Sugiyama
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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, whic ... Full description
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Description
More Information
| Author | Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama |
|---|---|
| Publisher | Cambridge University Press |
| Release year | 2019 |
| Cover type | Hardcover |
| EAN | 9781107076150 |