Variational Bayesian Learning Theory Shinichi Nakajima Kazuho … 9781107076150 LN

Description: Variational Bayesian Learning TheoryShinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama Cambridge University Press Hardcover Unused and unread, minor cosmetic imperfections such as scuffing or minor creasing. Stamped 'damaged' by publisher to a non-text page. EAN: 9781107076150 Published 11/07/2019 Language: English 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 theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to Bayesian learning. 1. Bayesian learning 2. Variational Bayesian learning 3. VB algorithm for multi-linear models 4. VB Algorithm for latent variable models 5. VB algorithm under No Conjugacy 6. Global VB solution of fully observed matrix factorization 7. Model-induced regularization and sparsity inducing mechanism 8. Performance analysis of VB matrix factorization 9. Global solver for matrix factorization 10. Global solver for low-rank subspace clustering 11. Efficient solver for sparse additive matrix factorization 12. MAP and partially Bayesian learning 13. Asymptotic Bayesian learning theory 14. Asymptotic VB theory of reduced rank regression 15. Asymptotic VB theory of mixture models 16. Asymptotic VB theory of other latent variable models 17. Unified theory. DispatchIn stock here - same-day dispatch from England. My SKU: 3261993RefundsNo-hassle refunds are always available if your book is not as expected.Terms and Conditions of SaleSorry - no collections. All sales are subject to extended Terms and Conditions of Sale as well as the Return Policy and Payment Instructions. Visit my eBay Store for details andmany more books. Template layout and design, "JNC Academic Books", "needbooks", Copyright © JNC INC. Designated trademarks, layouts and brands are the property of their respective owners. All Rights Reserved.

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