Hamiltonian Monte Carlo Methods in Machine Learning, 1st Edition free ebook download.

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Hamiltonian Monte Carlo Methods in Machine Learning, 1st Edition free ebook download

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Catalogue

Author(s):	Tshilidzi Marwala

Date:	2023	Format:	pdf	Language:	English	ISBN/ASIN:	0443190356
Pages:	220	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	12/13/2023 6:26:44 AM

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Hamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along with an introduction of Shadow and Non-canonical HMC methods with improvements and speedup. Lastly, the authors address the critical issues of variance reduction for parameter estimates of numerous HMC based samplers. The book offers a comprehensive introduction to Hamiltonian Monte Carlo methods and provides a cutting-edge exposition of the current pathologies of HMC-based methods in both tuning, scaling and sampling complex real-world posteriors. These are mainly in the scaling of inference (e.g., Deep Neural Networks), tuning of performance-sensitive sampling parameters and high sample autocorrelation.

Other sections provide numerous solutions to potential pitfalls, presenting advanced HMC methods with applications in renewable energy, finance and image classification for biomedical applications. Readers will get acquainted with both HMC sampling theory and algorithm implementation.

Provides in-depth analysis for conducting optimal tuning of Hamiltonian Monte Carlo (HMC) parameters
Presents readers with an introduction and improvements on Shadow HMC methods as well as non-canonical HMC methods
Demonstrates how to perform variance reduction for numerous HMC-based samplers
Includes source code from applications and algorithms
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3215369	Book	https://nitroflare.com/view/63C80E5B89F0...		14.00	eternal

Tags: Carlo Hamiltonian Learning Machine Methods Monte

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